Agricultural Big Data & Ag Input Retailers

Save this PDF as:
Size: px
Start display at page:

Download "Agricultural Big Data & Ag Input Retailers"

Transcription

1 Agricultural Big Data & Ag Input Retailers Iowa Institute for Cooperatives Summer Workshop June 19, Mapping Success in the Food System Discover. Analyze. Strategize. Implement. Execute.

2 Major Sections of Our Presentation Overview of Big Data The AgState Project Implications for Ag Input Retailers Page 2

3 Overview of Big Data Page 3

4 Big Data: 3V s BIG Data? Complexity VOLUME Large amounts of data VELOCITY Needs to be analyzed quickly VARIETY Different types of structures and unstructured data Speed BIG Data Volume Source: Professor M. Eltabakh: Worcester Polytechnic Institute Page 4

5 What is Generating Big Data? Scientific Instruments (collecting all sorts of data) Sensor Technology and Networks (measuring all kinds of data) Source: Professor M. Eltabakh: Worcester Polytechnic Institute Page 5 Mobile Devices (tracking all objects all the time)

6 The Importance of This Issue Why is Big Data in agriculture emerging now? Components of Precision Agriculture have been used for years with modest benefit Computer capacity has now expanded to process vast volumes of data Why is Big Data an important issue? Enables the promise of Precision Agriculture to be realized Makes critical agronomic decisions on small areas within each field The most important change for row crop farming since the 1940s What is the level of urgency? Several major ag companies have just launched Big Data Service offerings that will define the market. What is the timing of this technology? Crop year 2014 will be critical in competitor positioning. Page 6

7 Value Generated by Ag Big Data Making the link between On-Farm Optimization Data-based decision-making for many more decisions Early problem identification for management response Custom solutions to minimize inputs and maximize yields Input Product Innovation for Unique Conditions Biotech / seed research Equipment R&D Other input supplies Market Linkage Improves transparency and predictability of markets Page 7

8 Enabling Farmers to Make 40 Critical Decisions Critical Decision Sets: Planning Data Seed Selection Weed- Control Program Insect- Control Program Pre-Planting Data Fertility Program Tillage Program Planting Data Plant Population Dynamics Seed Depth In-Season Data Post- Emergence Pest Control Crop Diagnostics Harvest Data Equipment Crop Marketing Goal: Maximize Net Return Per Acre Productivity Tools: Seed Factors Seed is lynchpin decision key to establishing yield potential Source: Monsanto Investor Presentation, October 2, 2013 Page 8 Planting Factors Focus on best field configuration, preparation and planting elements Pest-Control Factors Focus on insect and weed control regimes In-Season Decisions Diseases, nutrient, etc. approaches based on in-field environment

9 Current and Potential Players in Agricultural Big Data Major Players Monsanto Pioneer John Deere Public Sector Purdue University Iowa State University of Illinois Page 9 Startup Companies Farmer Organizations MyFarms 640 Labs Farmlogs Ag Input Distribution CPS / AgJunction Growmark / AgJunction LOL / Winfield National Organizations State Organizations IBM Hitachi IT Companies

10 Vendor-Driven or Farmer-Driven Big Data Who owns and controls the data? Vendor-Driven Services provided to farmers by Ag Input or Equipment company, e.g., Monsanto or Deere Vendor obtains full control over farmers data via the user / license agreement Sells a range of products and services to the farmer based on the data collected Farmer-Driven Big Data services are provided to farmers by an independent IT company, e.g., IBM or Hitachi Farmers retain control over the data and allow the IT companies to develop specific services based on the data Farmers retain right to monetize the use of their data Page 10

11 Monsanto Roll-Out 2012 Crop Year On-farm locations at 56 locations 5 to 10 bushel per acre performance advantage Fees Currently $10 per acre Climate Corp charges $15 per acre Distribute via Ag Input Retailers Crop Year 150 farmers on 40,000+ acres 2014 Plans 4 states Hundreds of thousands of acres MN IA IL IN Source: Monsanto Investor Presentation, October 2, 2013 Page 11

12 MyJohnDeere Platform John Deere and Partners Provide near real-time field level data to growers Links Partner and Deere software and farmer services To be widely available to growers in 2014 Each company markets through its local distribution channels The platform is non-exclusive Integrated wireless technology linking the equipment, managers, operators, dealers and agricultural consultants to provide more productivity and efficiency to a farm or business. Pricing is based on multiple options and number of machines. Annual cost in the range of $5-15,000 per farm Distribution via John Deere Dealers. Page 12

13 DuPont Pioneer Encirca Services Encirca View: Mobile app for crop observations: Free of charge Encirca View Premium : News, Market Info., Local weather, all provided by DTN: $150 per month per farm Encirca Yield: Personalized management solutions via Certified Service Agents to maximize yield and control costs: $10-20 per acre. To be launched later this year. Direct distribution. Page 13

14 MyFarm s Business Model Seed Company pays $150/customer per year Source: MyFarms private communication January 6, 2014 Page 14

15 Nearly 1 Million Acres Served by MyFarms Source: MyFarms private communication January 6, 2014 Page 15

16 Business Functions The Co-op Model The co-op model is flexible, and the boundary between regional and local functions shifts under changing industry conditions. The Regional Cooperative Local Co-op Local Co-op Super Local Co-op Local Co-op Local Co-op Local Co-op Super Local Co-op Local Co-op Local Co-op Local Co-op Local Co-op Page 16

17 Thoughts on the Business Model The farmer takes the risk: the per acre fee is paid in advance. Monsanto s estimate of industry revenue is based on $20 - $25 per acre. A per acre business model for a service to farmers, similar to chemicals or seed, might not be readily accepted: Can Big Data improve yields 5 10 bushel per acre year after year? Can Big Data improve comparable yields on ALL acres? Won t larger operators insist on a lower fee for volume? Integrating all of the pieces of precision agriculture data to support farmer decision-making will take time. The roll-out of Big Data in agriculture will occur gradually. Page 17

18 Implementation Hurdles for Big Data Access to data from 10,000s of farmers Data ownership and privacy issues Convincing farmers the benefits are real this time Fast broadband / wireless access in rural areas Confusing complex options for farmer choice Uncertainty over new technology roll-out Some farmers not comfortable with IT technology Getting diverse systems to communicate with each other Source: The Hale Group and International Page 18

19 The introduction of Big Data is likely to be bumpy and uneven, but it is occurring. However, Big Data will create the next major technological sea change. It ranks with other sea changes such as the tractor, CPCs, and biotech. It should not be assumed that the business model for selling seed and chemicals will work for Big Data services. Technology will change the balance of power in the agri-food value chain. There will be winners and losers with the new technology. A solution needs to be found for the ownership and control of farmer data. All participants in the current agri-food chain must assess how the technology will affect their future business. Source: The Hale Group and International Page 19 Summary

20 Big Data in Agriculture Opportunities and Threats Which Kind of Future for Row Crop Farmers? Page 20

21 The AgState Project on Big Data

22 Purpose To develop the most appropriate strategy and tactics for row crop farmers to utilize Agricultural BIG Data to enhance the productivity, efficiency, and choices of American farmers while also protecting their farm data and intellectual property. Page 22

23 Approach for Phase 1 Phase 1. Strategic Issues Regarding Agricultural BIG Data Task 1. Technology Task 2. Business Model Task 3. Policy Task 4. Farmer Education How it will evolve? How will it be applied to row crop farming? What are alternative models for providers? How do they protect farmer interests? What is being considered to protect data and intellectual property rights? What is the level of understanding of big data within the row crop community? Task 5. Big Data Strategy for Farmers and Farmer-Driven Organizations Initiatives Goals Required Resources Metrics Page 23

24 Approach for Phase 2 Phase 2. Implementation Plan for Agricultural BIG Data Task 6. Technology Task 7. Business Model Task 8. Policy Task 9. Farmer Education What can farmer organizations do to influence technology development in agriculture? What actions can farmers take to encourage fairness and competition? What is need to support development of policy? What should guide policy formation? What information or materials do constituents need to make informed decisions on use of Big Data? Task 10. Implementation Plan for Farmers and Farmer-Driven Organizations Objectives Action Steps Accomplishments Accountability Timing Resources Page 24

25 Sources of Information Information Sources Desk-Based Research In-Person Interviews Focus Groups Electronic Survey Telephone Interviews Page 25

26 Focus Groups and Electronic Survey Interviews Estimated interviews Target of 3-4 Focus Groups Farmers using Precision Ag tools and equipment Farmers not using Precision Ag tools and equipment Advisors to farmers Web-based survey farmers and businesses serving farmers A benchmark of farmer attitudes and usage Identification of farmer education needs Perspectives of businesses serving farmers Page 26

27 Categories of Interviewees Agricultural input suppliers offering Big Data services Other companies offering Big Data services to ag Farmers owners, renters, operators Absentee land owners Trusted advisors, e.g., Certified Crop Advisors Farm Management Companies Land Grant Universities Iowa farmer organizations National farmer organizations Farmer cooperatives IT companies who understand business models in other industries Grower Information Services Cooperative Independent technical experts State and Federal government agencies Stock market analysts Page 27

28 Project Schedule Interviews intensive in June, July, and August Focus Groups tentatively scheduled for last half of July Web-based Electronic Survey mid July to early August Draft Strategic Direction, AgState Meeting early September Final Strategic Plan mid-october Draft Implementation Plan mid-december Final Implementation Plan early January 2015 Page 28

29 Implications for Ag Input Retailers

30 Caveat The following are some of our initial thoughts on the implications of Big Data for retailers. At the end of the AgState project, we will have more specific concepts. Page 30

31 Will Big Data Shift the Competitive Balance? Disruptive Technology New Entrants Suppliers Intra- Industry Competition Buyers Substitutes Source: Michael E. Porter, the Five Forces of Competition Page 31

32 Where Will Value-Creation Occur in Vendor-Driven Big Data? Ag Input Companies Ag Input Retailers Farmers Commodity Processors Present Future Present Future Present Future Present Future Source: The Hale Group and International Page 32

33 Where Will Value-Creation Occur in Farmer-Driven Big Data? Ag Input Companies Ag Input Retailers Farmers Commodity Processors Present Future Present Future Present Future Present Future Source: The Hale Group and International Page 33

34 Big Data Risks and Benefits: Farmers Key Benefits Significant yield increases with reduced costs Management of complex decisions Scale of farming operations can increase Farm generated-data has significant value and might become new revenue stream Key Risks Ag input suppliers have effective control of farming decisions Complex systems will make it difficult for a farmer to switch input suppliers Complexity will make it difficult to compare offers from competitors Source: The Hale Group and International Page 34

35 Big Data Risks and Benefits: Input Retailers Key Benefits Improved efficiency and logistics to reduce costs and inventory levels New agronomic services that can be offered using Big Analytics New service opportunities such as the operation of drones for crop inspection. Farmer customers are larger and stronger financially Key Risks Reduced margins with different business model The input companies serve the larger farmers directly Customer concentration Reduction in traditional advisory services which reduces competitive differentiation Source: The Hale Group and International Page 35

36 Percent of Revenue from Services, Top 10 Ag Retailers Company Rev. CPS Fert Seed Serv. Crop Protection Services $1 Bil+ 31% 52% 13% 4% Helena Chemical Co. $1 Bil+ 37% 43% 17% 3% Growmark, Inc. $1 Bil+ 17% 62% 16% 5% Wilbur-Ellis Company $1 Bil+ 40% 49% 6% 5% CHS $1 Bil+ 20% 61% 15% 4% J.R. Simplot $1 Bil+ 35% 59% 4% 2% Southern States $ Bil 16% 63% 16% 4% Jimmy Sanders, Inc. $ Bil 31% 36% 30% 3% MFA Incorporated $ Bil 18% 62% 16% 4% Tennessee Farmers $ Bil 20% 58% 19% 3% Source: CropLife website, Page 36

37 Revenue versus Profits from Services Context Network estimates that services represented 6% of revenue but 17% of profits for the top 20 retailers in Source: ASTA presentation by Context Network, December 13, 2013 Page 37

38 Your Business Model BIG Data will change the way you do business. Page 38

39 Technological Complexity Decision-Making in Agriculture Page Common sense Minimal scientific education Human judgment Common sense Good scientific education Technical advice from many sources Human judgment Common sense Good scientific education Technical input Expert advisors Precision farming Human judgment Strong scientific education Precision farming Huge data volume Predictive analytics Limited judgment

40 How will Big Data change your business? Huge companies will squeeze you out of the advice business. A computer will give advice the Amazon effect Margins for commodity products will be squeezed. Not where value is added Technology will drive further consolidation Much larger farming operations Price transparency will increase Will provide even more incentive to bypass retailers. Much larger distributors / retailers Will require a much stronger knowledge base than in the past. Will shift the skills required. Competition for employees with high level computer skills will intensify. Page 40

41 Initial Assessment of Ag Retailers Strengths Trust of farmers Little conflict of interest Boots on the ground Local presence and large scale through regional co-op Weaknesses Less capital for investment than the major players Less bargaining power than major service providers Less experience in Big Data and Data Analytics Opportunities New, emerging services Threats Large farms bypass retailers Page 41

42 Market Growth Anaylze Your Lines of Business Unless you want to be only a logistics business, you must invest in Big Data. Make the other business lines feed Big Data. High Question Marks Strategy: Grow or Sell Stars Strategy: Invest Low Dogs Strategy: Divest Cash Cows Strategy: Reap Source: Boston Consulting Group Page 42 Low High Market Share

43 This is the time to invest The tug-of-war for cash in a co-op. Maximize Patronage Refunds Strengthen Balance Sheet Invest for the Future Page 43 Whatever goes into one bucket cannot go into the other buckets!

44 Strategic Questions for You as Retailers What is an honest appraisal of your current business? What is your competitive advantage today? How strong will your competitive advantage be 3 years hence? Do you have a good estimate of the profitability of each business line? Are all business lines profitable? Should you divest unprofitable businesses? What should you do to strengthen your relationship with members? How vulnerable is the co-op to bypassing by large farmers? What can the regional cooperatives do for you in Big Data? Page 44

45 Strategic Questions for You as Retailers How can we remain well informed about Big Data developments? This is changing weekly; someone must track it This could be through your regional co-op or jointly with several co-ops What are our strategic options? No involvement in Big Data Align with Monsanto as a service provider Align with one or several smaller service providers Join forces with other cooperatives Alliance with your regional cooperative Alliance with a group of nearby local cooperatives Merger with a group of nearby local cooperatives What are the pros and cons of each option? What are the investments, costs, benefits, and risks of each option? Page 45

46 Recommendations Conduct a tough self-assessment Prepare for a major shift in your value proposition and business model Gain access to Big Data, high tech skill sets As an individual cooperative In collaboration with other local cooperatives Through a regional cooperative Seek alliances with other companies Capitalize on your independence as a trusted advisor Page 46

47 What Questions Do You Have? Page 47

The Digital Transformation of Row Crop Agriculture

The Digital Transformation of Row Crop Agriculture The Digital Transformation of Row Crop Agriculture Winter Workshop Iowa Institute for Cooperatives January 14-15, 2015 800.229.4253 hale@halegroup.com www.halegroup.com Mapping Success in the Food System

More information

Precision Farming and the Future of Crop Production

Precision Farming and the Future of Crop Production Precision Farming and the Future of Crop Production Ron Milby Executive Director, Agronomy Marketing Technology Advancements Tillage Harvest 30 Acres per Hour Plant 80 Acres per Hour Enabling Technologies

More information

THE DIGITAL TRANSFORMATION

THE DIGITAL TRANSFORMATION THE DIGITAL TRANSFORMATION OF ROW CROP AGRICULTURE A Report to the Iowa AgState Group December 2014 Prepared by: The Hale Group, Ltd. 8 Cherry Street Danvers, MA 01923 978-777-9077 International, Inc.

More information

Precision Agriculture Using SAP HANA and F4F Cloud Integration to Improve Agribusiness. Dr. Lauren McCallum May, 2015

Precision Agriculture Using SAP HANA and F4F Cloud Integration to Improve Agribusiness. Dr. Lauren McCallum May, 2015 Precision Agriculture Using SAP HANA and F4F Cloud Integration to Improve Agribusiness Dr. Lauren McCallum May, 2015 Global trends impact agribusiness Shrinking cultivable acreage: Loss of over 24 million

More information

AGCO 4205 River Green Parkway Duluth, GA 30096-2563 USA www.agcocorp.com. Matt Rushing VP, Advanced Technology Solutions Product Line

AGCO 4205 River Green Parkway Duluth, GA 30096-2563 USA www.agcocorp.com. Matt Rushing VP, Advanced Technology Solutions Product Line AGCO 4205 River Green Parkway Duluth, GA 30096-2563 USA www.agcocorp.com Telephone 770-232-8450 Matt Rushing VP, Advanced Technology Solutions Product Line The white paper below is a re-print of testimony

More information

Digital Agriculture: Leveraging Technology and Information into Profitable Decisions

Digital Agriculture: Leveraging Technology and Information into Profitable Decisions Digital Agriculture: Leveraging Technology and Information into Profitable Decisions Dr. Matt Darr, Ag & Biosystems Engineering Advancing Agricultural Performance and Environmental Stewardship Some material

More information

Sales Finance A Tool for more Profitable Sales. Jim Howard Kevin Nies

Sales Finance A Tool for more Profitable Sales. Jim Howard Kevin Nies Sales Finance A Tool for more Profitable Sales Jim Howard Kevin Nies John Deere Financial Kevin Nies Inside Sales Representative Madison, WI Jim Howard Inside Sales Representative Johnston, IA You Will

More information

Big Data & Big Opportunities

Big Data & Big Opportunities Big Data & Big Opportunities Dr. Matt Darr, Iowa State University For a copy of this slide deck please send an email request to darr@iastate.edu Presentation Guiding Principles No intent to be critical

More information

How can information technology play a role in primary industries climate resilience?

How can information technology play a role in primary industries climate resilience? Manage Data. Harvest Information. How can information technology play a role in primary industries climate resilience? CHALLENGES FOR WORLD AGRICULTURE 9 Billion people on earth by 2040 Up to 40% of food

More information

FACT SHEET. Production Risk

FACT SHEET. Production Risk ALABAMA AGRICULTURAL & MECHANICAL UNIVERSITY SMALL FARMERS RESEARCH CENTER FACT SHEET Production Risk Any production related activity or event that is uncertain is a production risk. Agricultural production

More information

Matt Erickson Economist American Farm Bureau Federation March 5, 2014

Matt Erickson Economist American Farm Bureau Federation March 5, 2014 Matt Erickson Economist American Farm Bureau Federation March 5, 2014 What is Big Data? Discuss the intricacies of Big Data that exist today and what to expect ahead. Discuss the strengths, challenges

More information

PRECISION TECHNOLOGIES AND SERVICES FOR A COMPLETE SOLUTION

PRECISION TECHNOLOGIES AND SERVICES FOR A COMPLETE SOLUTION PRECISION TECHNOLOGIES AND SERVICES FOR A COMPLETE SOLUTION In our ever-changing economy and environment, farmers are faced with the demanding challenge of feeding the world s growing population. Faced

More information

Speaker Summary Note

Speaker Summary Note 2020 CONFERENCE MAY 2014 Session: Speaker: Speaker Summary Note Building Resilience by Innovating and Investing in Agricultural Systems Mark Rosegrant Director, Environment and Production Technology Division

More information

How Smart, Connected Products are Transforming Competition

How Smart, Connected Products are Transforming Competition How Smart, Connected Products are Transforming Competition Professor Michael E. Porter Harvard Business School James Heppelmann President & CEO, PTC Executive Event Munich, Germany January 21, 2015 This

More information

Third Quarter 2014 Earnings Conference Call. 13 August 2014

Third Quarter 2014 Earnings Conference Call. 13 August 2014 Third Quarter 2014 Earnings Conference Call 13 August 2014 Safe Harbor Statement & Disclosures The earnings call and accompanying material include forward-looking comments and information concerning the

More information

PURDUE EXTENSION. The Internal Analysis of Your Farm Business: What Is Your Farmʼs Competitive Advantage?

PURDUE EXTENSION. The Internal Analysis of Your Farm Business: What Is Your Farmʼs Competitive Advantage? PURDUE EXTENSION EC-721 Farm Business Management for the 21st Cen tu ry The Internal Analysis of Your Farm Business: What Is Your Farmʼs Competitive Advantage? Allan Gray Michael Boehlje Craig Dobbins

More information

Elevating Precision Agriculture to Decision Agriculture: Unlocking Yield Through Information KERRY PREETE. Executive Vice President, Global Strategy

Elevating Precision Agriculture to Decision Agriculture: Unlocking Yield Through Information KERRY PREETE. Executive Vice President, Global Strategy Elevating Precision Agriculture to Decision Agriculture: Unlocking Yield Through Information KERRY PREETE Executive Vice President, Global Strategy Forward-Looking Statements Certain statements contained

More information

IFC and Agri-Finance. Creating Opportunity Where It s Needed Most

IFC and Agri-Finance. Creating Opportunity Where It s Needed Most IFC and Creating Opportunity Where It s Needed Most Agriculture remains an important activity in emerging markets IMPORTANCE OF AGRICULTURE as major source of livelihood 75% of poor people in developing

More information

Achieving Competitive Advantage with Information Systems

Achieving Competitive Advantage with Information Systems Chapter 3 Achieving Competitive Advantage with Information Systems 3.1 Copyright 2011 Pearson Education, Inc. STUDENT LEARNING OBJECTIVES How does Porter s competitive forces model help companies develop

More information

Third Quarter 2015 Earnings Conference Call. 21 August 2015

Third Quarter 2015 Earnings Conference Call. 21 August 2015 Third Quarter 2015 Earnings Conference Call 21 August 2015 Safe Harbor Statement & Disclosures The earnings call and accompanying material include forward-looking comments and information concerning the

More information

Using Technology and Big Data to Improve Profits. Matt Darr, Agricultural & Biosystems Engineering

Using Technology and Big Data to Improve Profits. Matt Darr, Agricultural & Biosystems Engineering Using Technology and Big Data to Improve Profits Matt Darr, Agricultural & Biosystems Engineering 2015 THE YEAR OF BIG DATA Why the New Emphasis on Data Today? Autosteering and swath control technology

More information

Developing Your Business Plan

Developing Your Business Plan Developing Your Business Plan Developing a Business Plan for Trade Adjustment Assistance Kevin Klair Center for Farm Financial Management University of Minnesota Developing a Business Plan A business plan

More information

Missouri Soybean Economic Impact Report

Missouri Soybean Economic Impact Report Missouri Soybean Economic Report State Analysis March 2014 The following soybean economic impact values were estimated by Value Ag, LLC, as part of a Missouri Soybean Merchandising Council funded project.

More information

Using the Value Chain in Financing Agriculture

Using the Value Chain in Financing Agriculture Using the Value Chain in Financing Agriculture Rural and Agricultural Finance Conference Marrakech, Morocco Calvin Miller FAO Agribusiness and Finance Senior Officer Rome, Italy Presentation Applying Agri

More information

Rain on Planting Protection. Help Guide

Rain on Planting Protection. Help Guide Rain on Planting Protection Help Guide overview Rain on Planting Protection allows growers to protect themselves from losses if rain prevents planting from being completed on schedule. Coverage is highly

More information

John Deere and you. You ll look good in green.

John Deere and you. You ll look good in green. John Deere and you. You ll look good in green. 2 When you work with John Deere, we invest in our relationship with you a bond that is made to grow with you into the future. MORE THAN JUST IRON. Committed

More information

CORN IS GROWN ON MORE ACRES OF IOWA LAND THAN ANY OTHER CROP.

CORN IS GROWN ON MORE ACRES OF IOWA LAND THAN ANY OTHER CROP. CORN IS GROWN ON MORE ACRES OF IOWA LAND THAN ANY OTHER CROP. Planted acreage reached a high in 1981 with 14.4 million acres planted for all purposes and has hovered near 12.5 million acres since the early

More information

THE CANOLA COUNCIL OF CANADA STRATEGIC PLAN IT S AMAZING WHAT ONE MORE BUSHEL OF CANADIAN CANOLA CAN DO.

THE CANOLA COUNCIL OF CANADA STRATEGIC PLAN IT S AMAZING WHAT ONE MORE BUSHEL OF CANADIAN CANOLA CAN DO. THE CANOLA COUNCIL OF CANADA STRATEGIC PLAN IT S AMAZING WHAT ONE MORE BUSHEL OF CANADIAN CANOLA CAN DO. WITH EVERY ADDITIONAL BUSHEL WE GROW AND SELL, WE STRENGTHEN THE POSITIVE IMPACT OF CANOLA. MORE

More information

#1: Threshold and Injury Calculations the Theory. #2: Putting Economic Injury Levels and Action Thresholds to Use. Related Topics

#1: Threshold and Injury Calculations the Theory. #2: Putting Economic Injury Levels and Action Thresholds to Use. Related Topics Module #4 What is a Threshold? p. 1 www.nysaes.cornell.edu/ipmnet/ne.ipm.region What is a Threshold? By James VanKirk Overview Concept Activity Handouts The Economic Injury Level and the Action Threshold

More information

Feedstocks: Developing a Successful Plan and Attracting Investors to Your Biofuels Project

Feedstocks: Developing a Successful Plan and Attracting Investors to Your Biofuels Project Feedstocks: Developing a Successful Plan and Attracting Investors to Your Biofuels Project BBI Project Development Webinar Series May 2015 Kyle Althoff President kalthoff@equinox8.com +1 303 910 6052 Biofuel

More information

ICC 105 19 Rev. 1. 16 October 2012 Original: English. International Coffee Council 109 th Session 24 28 September 2012 London, United Kingdom

ICC 105 19 Rev. 1. 16 October 2012 Original: English. International Coffee Council 109 th Session 24 28 September 2012 London, United Kingdom ICC 105 19 Rev. 1 16 October 2012 Original: English E International Coffee Council 109 th Session 24 28 September 2012 London, United Kingdom Strategic action plan for the International Coffee Organization

More information

Agriculture Embracing

Agriculture Embracing TOWARDS Executive Summary Agriculture Embracing The IoT Vision The Problem The Food and Agricultural Organisation of the UN (FAO) predicts that the global population will reach 8 billion people by 2025

More information

Being Successful in Ontario s Organic Sector

Being Successful in Ontario s Organic Sector Being Successful in Ontario s Organic Sector In 212 Ontario s organic market is worth at least $1 billion per year. That was the size of the entire Canadian organic market in 26! Indeed at 38% of the national

More information

A case study in cloud computing

A case study in cloud computing A case study in cloud computing Greg Levow President & Chief Operating Officer Agronomic Technology Corp greg@agronomic.com November 3, 2014 Topics: What is the cloud? What it means for companies and users

More information

Rising Concentration in Agricultural Input Industries Influences New Farm Technologies

Rising Concentration in Agricultural Input Industries Influences New Farm Technologies DECEMBER 2012 VOLUME 10, ISSUE 4 FEATURE ARTICLE Rising Concentration in Agricultural Input Industries Influences New Farm Technologies Keith Fuglie kfuglie@ers.usda.gov Paul Heisey pheisey@ers.usda.gov

More information

First Quarter 2015 Earnings Conference Call. 20 February 2015

First Quarter 2015 Earnings Conference Call. 20 February 2015 First Quarter 2015 Earnings Conference Call 20 February 2015 Safe Harbor Statement & Disclosures The earnings call and accompanying material include forward-looking comments and information concerning

More information

Information Systems, Organizations, and Strategy

Information Systems, Organizations, and Strategy Information Systems, Organizations, and Strategy VIDEO CASES Chapter 3 Case 1: National Basketball Association: Competing on Global Delivery with Akamai OS Streaming Case 2: IT and Geo-Mapping Help a Small

More information

Precision Agriculture: A Retailer s Perspective

Precision Agriculture: A Retailer s Perspective Precision Agriculture: A Retailer s Perspective by Luke Brummel Economist, Farm Supply Inside this Issue Setting the Stage...2 Precision Agriculture Services the Basics...2 Alternative Business Models...3

More information

CHOICES The magazine of food, farm, and resource issues

CHOICES The magazine of food, farm, and resource issues CHOICES The magazine of food, farm, and resource issues 4th Quarter 2005 20(4) A publication of the American Agricultural Economics Association Logistics, Inventory Control, and Supply Chain Management

More information

The Global Digital Revolution and Canadian Agriculture and Mining

The Global Digital Revolution and Canadian Agriculture and Mining The Global Digital Revolution and Canadian Agriculture and Mining Peter W.B. Phillips, Ph.D. Distinguished Professor of Public Policy Brian Wixted, Ph.D. Adjunct Professor Johnson-Shoyama Graduate School

More information

STRATEGY DEVELOPMENT FOR THE FARM BUSINESS: OPTIONS AND ANALYSIS TOOLS. Department of Agricultural Economics. Purdue University

STRATEGY DEVELOPMENT FOR THE FARM BUSINESS: OPTIONS AND ANALYSIS TOOLS. Department of Agricultural Economics. Purdue University STRATEGY DEVELOPMENT FOR THE FARM BUSINESS: OPTIONS AND ANALYSIS TOOLS by Michael Boehlje, Allan Gray and Craig Dobbins Staff Paper #04-12 September 2004 Department of Agricultural Economics Purdue University

More information

Agricultural E-Commerce Examples

Agricultural E-Commerce Examples Agricultural E-Commerce Examples These descriptions were compiled by Justin Tamony, UC Agricultural Issues Center Research Assistant, based on web sites cited in Emergent E-Commerce in Agriculture, by

More information

Who Will Retire Member s Equity? Roger G. Ginder Department of Economics Iowa State University

Who Will Retire Member s Equity? Roger G. Ginder Department of Economics Iowa State University Who Will Retire Member s Equity? Roger G. Ginder Department of Economics Iowa State University May/June 1999 Who Will Retire Member s Equity? Structural Change, Board Decisions and Membership Control Structural

More information

We have seen in the How

We have seen in the How : Examples Using Hedging, Forward Contracting, Crop Insurance, and Revenue Insurance To what extent can hedging, forward contracting, and crop and revenue insurance reduce uncertainty within the year (intrayear)

More information

Smart Farming The need for a new collaboration platform

Smart Farming The need for a new collaboration platform Smart Farming The need for a new collaboration platform Overview Kverneland Group Agriculture Equipment overview Software sells! The Future of Farming Big Data Island solutions problem FIspace Conclusion:

More information

Getting smarter. How smart services are disrupting the manufacturing industry

Getting smarter. How smart services are disrupting the manufacturing industry Getting smarter How smart services are disrupting the manufacturing industry 2 Getting smarter: How smart services are disrupting the manufacturing industry On the heels of new, smart, sensor-enabled products

More information

CHOICES The magazine of food, farm, and resource issues

CHOICES The magazine of food, farm, and resource issues CHOICES The magazine of food, farm, and resource issues 4th Quarter 2005 20(4) A publication of the American Agricultural Economics Association Risk Sharing and Transactions Costs in Producer-Processor

More information

Chapter 2 Strategy and Technology: Concepts and Frameworks for Understanding What Separates Winners from Losers

Chapter 2 Strategy and Technology: Concepts and Frameworks for Understanding What Separates Winners from Losers Chapter 2 Strategy and Technology: Concepts and Frameworks for Understanding What Separates Winners from Losers 2-1 The Danger of Relying on Technology Firms strive for sustainable competitive advantage,

More information

The fact is that 90% of business strategies are not implemented through operations as intended. Overview

The fact is that 90% of business strategies are not implemented through operations as intended. Overview Overview It is important to recognize that a company s network determines its supply chain efficiency and customer satisfaction. Designing an optimal supply chain network means the network must be able

More information

Business Plans for Agricultural Producers

Business Plans for Agricultural Producers E-492 RM3-1.0 10-08 Risk Management Business Plans for Agricultural Producers Dean McCorkle and Stan Bevers* A business plan is a road map for a business. It describes the key functions of the business

More information

Village Farms International Announces Year End 2014 Results and Adoption of Advance Notice By-Law

Village Farms International Announces Year End 2014 Results and Adoption of Advance Notice By-Law March 18, 2015 TRADING SYMBOL: The Toronto Stock Exchange: Village Farms International, Inc. VFF Village Farms International Announces Year End 2014 Results and Adoption of Advance Notice By-Law Vancouver,

More information

Bachelor of Agricultural Business Management Course Structure 2015

Bachelor of Agricultural Business Management Course Structure 2015 Bachelor of Agricultural Business Management Course Structure 2015 The Charles Sturt University, Bachelor of Agricultural Business Management is a prescribed course with details of curriculum etc. available

More information

Key Accounts How to Maximize Opportunities and Minimize Disappointments

Key Accounts How to Maximize Opportunities and Minimize Disappointments Key s How to Maximize Opportunities and Minimize Disappointments Key Key accounts represent a larger and larger share of the market and are becoming more demanding Many companies create some form of a

More information

MARKET ANALYSIS OF SOFTWARE TO SUPPORT DECISION MAKING FOR FARMS IN POLAND

MARKET ANALYSIS OF SOFTWARE TO SUPPORT DECISION MAKING FOR FARMS IN POLAND 474 Bulgarian Journal of Agricultural Science, 20 (No 2) 2014, 474-479 Agricultural Academy MARKET ANALYSIS OF SOFTWARE TO SUPPORT DECISION MAKING FOR FARMS IN POLAND J. WAWRZYNOWICZ* and K. WAJSZCZUK

More information

Principles of Hedging with Futures

Principles of Hedging with Futures MARKETING & UTILIZATION Cooperative Extension Service Purdue University West Lafayette, IN 47907 NCH-47 Principles of Hedging with Futures Chris Hurt, Purdue University Robert N. Wisner, Iowa State University

More information

THE MASTERCARD FOUNDATION: RURAL AND AGRICULTURAL FINANCE STRATEGY

THE MASTERCARD FOUNDATION: RURAL AND AGRICULTURAL FINANCE STRATEGY THE MASTERCARD FOUNDATION: RURAL AND AGRICULTURAL FINANCE STRATEGY SEPTEMBER 2015 The MasterCard Foundation works with visionary organizations to provide greater access to education, skills training and

More information

Case Interview - Frameworks

Case Interview - Frameworks WWW.MCONSULTINGPREP.COM Case Interview - Frameworks For more free and detailed materials on Management Consulting Preparation, visit www.mconsultingprep.com 2014 MConsultingPrep, Inc. COMPLETE FRAMEWORKS

More information

INCORPORATING SMALL PRODUCERS INTO FORMAL RETAIL SUPPLY CHAINS SOURCING READINESS CHECKLIST 2016

INCORPORATING SMALL PRODUCERS INTO FORMAL RETAIL SUPPLY CHAINS SOURCING READINESS CHECKLIST 2016 INCORPORATING SMALL PRODUCERS INTO FORMAL RETAIL SUPPLY CHAINS SOURCING READINESS CHECKLIST 2016 LSteinfield/Bentley University Authors: Ted London Linda Scott Colm Fay This report was produced with the

More information

Evaluating Taking Prevented Planting Payments for Corn

Evaluating Taking Prevented Planting Payments for Corn May 30, 2013 Evaluating Taking Prevented Planting Payments for Corn Permalink URL http://farmdocdaily.illinois.edu/2013/05/evaluating-prevented-planting-corn.html Due to continuing wet weather, some farmers

More information

Relationship management is dead! Long live relationship management!

Relationship management is dead! Long live relationship management! XRM: From Fragmentation to Integration Executive Summary Relationship management is dead! Long live relationship management! But it s not just about customers anymore. The value chain has grown so long

More information

CEO Perspective on Supply Chain Management

CEO Perspective on Supply Chain Management CEO Perspective on Supply Chain Management Survey Findings February 2006 Charter Consulting A Division of Technology Solutions Company 55 East Monroe Street Suite 2600 Chicago, IL 60603 Phone: 312.228-4500

More information

Strategic Planning: External Environmental Scanning

Strategic Planning: External Environmental Scanning Strategic Business Planning for Commercial Producers Business Environment Strategic Planning: External Environmental Scanning Craig Dobbins Center for Food and Agricultural Business Purdue University Any

More information

Course 103402 MIS. Information Systems, Organizations and Strategies

Course 103402 MIS. Information Systems, Organizations and Strategies Oman College of Management and Technology Course 103402 MIS Topic 2 Information Systems, Organizations and Strategies CS/MIS Department Organizations and Information Systems Information technology and

More information

QUALITY MANAGEMENT SYSTEM: GOOD AGRICULTURAL PRACTICE (GAP) IN THAILAND

QUALITY MANAGEMENT SYSTEM: GOOD AGRICULTURAL PRACTICE (GAP) IN THAILAND Quality Management System: Good Agricultural Practice (GAP) in Thailand QUALITY MANAGEMENT SYSTEM: GOOD AGRICULTURAL PRACTICE (GAP) IN THAILAND Surmsuk SALAKPETCH Chanthaburi Horticultural Research Center,

More information

NetSuite. Goes Natural. We have spoken to dozens of small business executives about their move to adopt technology.

NetSuite. Goes Natural. We have spoken to dozens of small business executives about their move to adopt technology. NetSuite Goes Natural We have spoken to dozens of small business executives about their move to adopt technology. Certain companies, though, stand out as powerful examples for others who may be considering

More information

Alexander Nikov. 3. Information Systems and Organisational Issues. Learning Objectives. Verizon or AT&T: Which Company Has the Best Digital Strategy?

Alexander Nikov. 3. Information Systems and Organisational Issues. Learning Objectives. Verizon or AT&T: Which Company Has the Best Digital Strategy? INFO 1500 Introduction to IT Fundamentals Learning Objectives 3. Information Systems and Organisational Issues 1. Identify and describe important features of organizations that managers need to know about

More information

The California Fresh Produce Industry and Marketing Trends

The California Fresh Produce Industry and Marketing Trends The California Fresh Produce Industry and Marketing Trends DR. ROBERTA COOK Dept. of Agricultural and Resource Economics University of California Davis For Labor, Water and California Agriculture in 2014

More information

FAO/WHO Regional Conference on Food Safety for the Americas and the Caribbean San José, Costa Rica, 6-9 December 2005

FAO/WHO Regional Conference on Food Safety for the Americas and the Caribbean San José, Costa Rica, 6-9 December 2005 Agenda Item 5 Conference Room Document 13 FAO/WHO Regional Conference on Food Safety for the Americas and the Caribbean San José, Costa Rica, 6-9 December 2005 THE FOOD SAFETY REGULATORY SYSTEM IN CANADA

More information

Availability of substitute products places limits on the prices market leaders can charge High prices induce buyers to switch to the substitute

Availability of substitute products places limits on the prices market leaders can charge High prices induce buyers to switch to the substitute Strategic Elements of Competitive Advantage Industry Analysis: Forces Influencing Competition Power of Suppliers Global Marketing Chapter 15 Power of Buyers Substitute Products Barriers to Entry Industry

More information

Australia Intelligent Transport System.pdf

Australia Intelligent Transport System.pdf http://www.gosreports.com Analytics as a Service Market by Solutions (Financial Analytics, Risk Analytics, Customer Analytics, Marketing Analytics, Sales Analytics, Web & Social Media Analytics, Supply

More information

Market Validation. 10% of the expected cost of developing the product. Two day triage of your idea to determine if more time and effort is required.

Market Validation. 10% of the expected cost of developing the product. Two day triage of your idea to determine if more time and effort is required. Market Validation 1. Definition Market Validation is a process applied to the unstructured, serendipitous task of doing a complete evaluation of the market for a product before the product is built. Rob

More information

S.W.O.T. Analysis Identifying Your Strengths, Weaknesses, Opportunities, and Threats

S.W.O.T. Analysis Identifying Your Strengths, Weaknesses, Opportunities, and Threats S.W.O.T. Analysis Identifying Your Strengths, Weaknesses, Opportunities, and Threats A SWOT analysis is a term used to describe a tool that is effective in identifying your Strengths and Weaknesses, and

More information

Edwards Jones 2006 Case Analysis. Next Step Consulting

Edwards Jones 2006 Case Analysis. Next Step Consulting Edwards Jones 2006 Case Analysis Next Step Consulting Industry Industry SIC Code: 6211 Security Brokers, Dealers, and Flotation Companies Establishment that deal with: Securities Mutual and money market

More information

the world in July 2015

the world in July 2015 Business opportunities in Precision Farming: Will big data feed the world in the future? Roland Berger Strategy Consultants GmbH Automotive Competence Center July 2015 BUSINESS OPPORTUNITIES IN PRECISION

More information

Market will worry about demand later Weekly Corn Review for May 11, 2016 By Bryce Knorr

Market will worry about demand later Weekly Corn Review for May 11, 2016 By Bryce Knorr Market will worry about demand later Weekly Corn Review for May 11, 2016 By Bryce Knorr USDA didn t do much to help the corn market in its May 10 reports other than give soybeans a big lift. That could

More information

Four strategies to help move beyond lean and build a competitive advantage

Four strategies to help move beyond lean and build a competitive advantage Discrete Manufacturing Four strategies to help move beyond lean and build a competitive advantage For companies that make complex, configurable products, lean manufacturing principles have become an integral

More information

An overview of supply chain concepts and examples from the development sector

An overview of supply chain concepts and examples from the development sector An overview of supply chain concepts and examples from the development sector Agenda What is Supply Chain Management? Example of supply chain linkages Example from the coffee industry 2005 Accenture. All

More information

Achieving Competitive Advantage with Information Systems. Lecture Note 003 TIM50, 2012 Autumn

Achieving Competitive Advantage with Information Systems. Lecture Note 003 TIM50, 2012 Autumn Achieving Competitive Advantage with Information Systems Lecture Note 003 TIM50, 2012 Autumn Announcements 1. HW # 1 due Next Thursday paper or electronic submission(web page) 2. Business Paper Preferences,

More information

FCC Ag Economics: Farm Sector Health Drives Farm Equipment Sales

FCC Ag Economics: Farm Sector Health Drives Farm Equipment Sales FCC Ag Economics: Farm Sector Health Drives Farm Equipment Sales Fall 2015 FCC Ag Economics: Farm Sector Health Drives Farm Equipment Sales 1 Introduction Agriculture is always evolving. Average farm sizes

More information

THE SCIENCE THE FUTURE OF CANADIAN CANOLA: APPLY THE SCIENCE OF AGRONOMICS TO MAXIMIZE GENETIC POTENTIAL.

THE SCIENCE THE FUTURE OF CANADIAN CANOLA: APPLY THE SCIENCE OF AGRONOMICS TO MAXIMIZE GENETIC POTENTIAL. THE SCIENCE THE FUTURE OF CANADIAN CANOLA: APPLY THE SCIENCE OF AGRONOMICS TO MAXIMIZE GENETIC POTENTIAL. WHERE WE HAVE BEEN CANOLA PRODUCTION HAS SURPASSED THE INDUSTRY TARGET OF 15 MMT. This was achieved

More information

Soybean Marketing & Production College, Minneapolis, MN. isafarmnet.com

Soybean Marketing & Production College, Minneapolis, MN. isafarmnet.com Soybean Marketing & Production College, Minneapolis, MN Peter Kyveryga, Ph.D. Operations Manager of Analytics On-Farm Network, Iowa Soybean Association Technical Editor-Precision Agriculture of the Agronomy

More information

Improve the product lifecycle

Improve the product lifecycle Improve the product lifecycle Vodafone M2M solutions for manufacturing m2m.vodafone.com Vodafone Power to you Vodafone M2M solutions for manufacturing What s facing manufacturers today? Whether you re

More information

Best Practices in the Formation and Implementation Of Strategic Alliances

Best Practices in the Formation and Implementation Of Strategic Alliances Best Practices in the Formation and Implementation Of Strategic Alliances Jay D. Anderson Gail Kutin Howard A. Hill Supply Manager Supply Manager National Manager Technical Purchasing Technical Purchasing

More information

How Insurance Will Use Technology and Big Data

How Insurance Will Use Technology and Big Data How Insurance Will Use Technology and Big Data Terry Griffin, Cropping Systems Economist, KSU Brent Young, Regional Extension Specialist, Agriculture & Business Management, CSU Extension Risk Management

More information

Center for Commercial Agriculture

Center for Commercial Agriculture Center for Commercial Agriculture Agricultural Price and Land Values: Insights from Participants in the Financial Health of Farming and Land Values Conference by Emily D. Lord 1, Nicole J. Olynk Widmar

More information

Sales Performance Management Market by Solution, by Services - Global Forecast to 2020

Sales Performance Management Market by Solution, by Services - Global Forecast to 2020 Brochure More information from http://www.researchandmarkets.com/reports/3259745/ Sales Performance Management Market by Solution, by Services - Global Forecast to 2020 Description: Sales Performance Management

More information

Financing Smallholder Farmers. to Increase Incomes and Transform Lives in Rural Communities

Financing Smallholder Farmers. to Increase Incomes and Transform Lives in Rural Communities Financing Smallholder Farmers to Increase Incomes and Transform Lives in Rural Communities EXECUTIVE SUMMARY Africa is home to a quarter of the world s farmland, yet it generates only 10 percent of all

More information

Working Capital: The Key in Volatile Times By Dr. David M. Kohl

Working Capital: The Key in Volatile Times By Dr. David M. Kohl Working Capital: The Key in Volatile Times By Dr. David M. Kohl 02/28/13 My memories take me back to Super Bowl Sunday in 1989 in St. Louis next to the old Busch Stadium for the first meeting of the Farm

More information

INFO1400. Define an organization and compare the technical definition of organizations with the behavioral definition.

INFO1400. Define an organization and compare the technical definition of organizations with the behavioral definition. Chapter 3 INFO1400 Review Questions 1. Which features of organizations do managers need to know about to build and use information systems successfully? What is the impact of information systems on organizations?

More information

Ontario Agri Business Association Economic Impact Analysis Executive Summary

Ontario Agri Business Association Economic Impact Analysis Executive Summary Ontario Agri Business Association Economic Impact Analysis Executive Summary Prepared by: MNP LLP October, 2013 INTRODUCTION The Ontario Agri Business Association (OABA) commissioned MNP LLP (MNP) to carry

More information

Integrated Pest Management

Integrated Pest Management Chapter 2 Integrated Pest Management In This Chapter Keywords After learning the information in this chapter, you will be able to: 1. Define Integrated Pest Management (IPM). 2. List and describe the 5

More information

So far the effort, outlined in the state s Nutrient Reduction Strategy to reduce hypoxia in the Gulf, has been voluntary.

So far the effort, outlined in the state s Nutrient Reduction Strategy to reduce hypoxia in the Gulf, has been voluntary. Push is on for Iowa to clean up its water State leaders are counting on farmers to adopt conservation practices to protect waterways, soil By Donnelle Eller, Des Moines Register; Nov. 9, 2013 EAGLE GROVE,

More information

Wholesale Distribution Industry Outlook

Wholesale Distribution Industry Outlook Wholesale Distribution Industry Outlook The wholesale distribution industry is changing. The days of solely delivering manufacturers products to retail customers at a competitive price are gone. Today,

More information

THE STUDY ON NEW MARKET DEVELOPMENT& DISTRIBUTION CHANNEL MANAGEMENT FOR AIRCEL LIMITED, MANGALORE

THE STUDY ON NEW MARKET DEVELOPMENT& DISTRIBUTION CHANNEL MANAGEMENT FOR AIRCEL LIMITED, MANGALORE THE STUDY ON NEW MARKET DEVELOPMENT& DISTRIBUTION CHANNEL MANAGEMENT FOR AIRCEL LIMITED, MANGALORE S. Saravanan Assistant Professor, Justice K S Hegde Institute of Management, Nitte, India Email: saravanansnr@gmail.com

More information

RURAL AND AGRICULTURE FINANCE Prof. Puneetha Palakurthi School of Community Economic Development Sothern New Hampshire University

RURAL AND AGRICULTURE FINANCE Prof. Puneetha Palakurthi School of Community Economic Development Sothern New Hampshire University RURAL AND AGRICULTURE FINANCE Prof. Puneetha Palakurthi School of Community Economic Development Sothern New Hampshire University DRIVERS OF RURAL DEVELOPMENT High overall economic growth Effective land

More information

Repayment Capacity Sensitivity Analysis Using Purdue Farm Financial Analysis Spreadsheet

Repayment Capacity Sensitivity Analysis Using Purdue Farm Financial Analysis Spreadsheet Repayment Capacity Sensitivity Analysis Using Purdue Farm Financial Analysis Spreadsheet ABSTRACT Many agricultural producers purchased capital items the past few years and some used borrowed funds to

More information

The Customer Relationship Management Process

The Customer Relationship Management Process The Customer Relationship Management Process E d u c a t i n g t h e W o r l d s B e s t A i r F o r c e Slide 1 The Supply Chain Management Processes Information Flow Supply Chain Management Processes

More information

Defining and Assessing the Farm Direct Marketing Channels in Ontario: An assessment tool for Ontario farmers.

Defining and Assessing the Farm Direct Marketing Channels in Ontario: An assessment tool for Ontario farmers. Defining and Assessing the Farm Direct Marketing Channels in Ontario: An assessment tool for Ontario farmers. Melanie Lang Department of Marketing and Consumer Studies Andreas Boecker Department of Food,

More information

GAAP Accounting for Farmers presented by Tom Bayer, Partner, Sikich LLP tbayer@sikich.com 217.793.3363

GAAP Accounting for Farmers presented by Tom Bayer, Partner, Sikich LLP tbayer@sikich.com 217.793.3363 GAAP Accounting for Farmers presented by Tom Bayer, Partner, Sikich LLP tbayer@sikich.com 217.793.3363 Outline of topics Why GAAP financial statements Types of CPA prepared financial statements Conversion

More information

W.M. Billy McLawhorn, Jr. - CPCC-I, CPAg, CCA McLawhorn Crop Services, Inc. 211 S. Main Street Cove City, NC 28523

W.M. Billy McLawhorn, Jr. - CPCC-I, CPAg, CCA McLawhorn Crop Services, Inc. 211 S. Main Street Cove City, NC 28523 8 th International IPM Symposium Salt Lake City, Utah W.M. Billy McLawhorn, Jr. - CPCC-I, CPAg, CCA McLawhorn Crop Services, Inc. 211 S. Main Street Cove City, NC 28523 Definitions/Assumptions Crop Consultant

More information