# APCAS/10/20 April 2010 ASIA AND PACIFIC COMMISSION ON AGRICULTURAL STATISTICS TWENTY-THIRD SESSION. Siem Reap, Cambodia, April 2010

Save this PDF as:

Size: px
Start display at page:

Download "APCAS/10/20 April 2010 ASIA AND PACIFIC COMMISSION ON AGRICULTURAL STATISTICS TWENTY-THIRD SESSION. Siem Reap, Cambodia, April 2010"

## Transcription

1 APCAS/10/20 April 2010 Agenda Item 8 ASIA AND PACIFIC COMMISSION ON AGRICULTURAL STATISTICS TWENTY-THIRD SESSION Siem Reap, Cambodia, April 2010 The Use of Area Frames for Agricultural Census by Robert Hale, Mathematical Statistician International Programs Office National Agricultural Statistics Service United States Department of Agriculture Current information on the agricultural situation in a country is critical. In some cases a method to estimate the current situation is to measure change from baseline information. The baseline information in agriculture is usually from the latest agricultural census. One of the best methods to conduct an agricultural census is to delineate census blocks or enumeration areas across the entire country. These blocks are designed to be easily located and each contains a fixed range of households. The process is well described in several Food and Agriculture Organization (FAO) publications. This is a reasonable method if time and funding are available. The problem is that the process to delineate all of the census blocks is time consuming and costly. The same is true for collecting data from all of the census blocks.

2 An alternative method is to construct an area sampling frame that will allow for efficient sampling to replace the complete enumeration of a census. The area frame can be designed to stratify the land in the country by factors important to the local situation. For example, a stratum could be designed for areas with a high percent of the land cultivated or with a high percentage of the land devoted to fruit trees or where much of the land is in pasture and livestock would be prevalent. Then the sample can be designed to focus more attention to these areas. However, all types of land should be represented in the sample. This report will use as an example the National Agricultural Statistics Service (NASS) assisted 2000 National Agriculture Census conducted in Ecuador. There are several steps to construct and sample an area frame. First is to set the stratum definitions that fit the need. In the U.S the stratum definitions have to do with the percent of the land cultivated and the population density. The following stratum definitions were used in Ecuador. Stratum Definition 10 Predominantly grassland 20 Predominantly temporary crops 30 Predominantly permanent crops 40 Predominantly native vegetation 51 Very little agriculture 52 Water 53 Lowlands with no agriculture 54 Highlands with no agriculture (steep slope and forests) 60 Aquaculture areas (shrimp) 71 Urban areas 72 Rural populated areas 81* Moderate agricultural areas with agriculture in < 2 km blocks 82* Moderate agricultural areas with agriculture in > 2 km blocks 83* Sparse agricultural areas with agriculture in < 2 km blocks 84* Sparse agricultural areas with agriculture in > 2 km blocks * Used only in three selected provinces Associated with setting the stratum definitions is determining how to sample the frame. In some cases the sample may be a point that determines the farm to be surveyed. For an agricultural census the sampling unit is typically a fixed size block of land. The boundaries of the sampling unit can be determined several ways, but the best method for an agricultural census would be to have the boundaries on some type of physical features that the interviewers can see. The features are roads, railroads, foot paths, rivers, streams, etc. that are permanent. Once the strata are set the size of the sampling units needs to be determined. The size can, and normally will, vary by stratum. It makes sense to sample a different size block of land in an agricultural area than in an urban area. The rules to determine the size vary depending on the number of interviews or the availability of physical features.

5 most. The area frame provides data representative of all producers not on the list. In statistical terms, the list provides data with little or no variation and the area provides complete coverage of the population (agricultural producers). There are two types of error associated with any statistical survey; sampling and non-sampling. Sampling errors are those associated with collecting information from a sample rather than from every possible agricultural producer. Non-sampling errors are those associated with mistakes in collecting the data, such as transposing numbers or the producer forgetting to report about a separate parcel of land he owns. There will be non-sampling errors whether a true census or a sample census is conducted. The sampling error should be zero if a true census is conducted. In a sample census the will be sampling error associated with the area frame sample that need to be calculated. There are standard mathematical formulas to use to calculate the sampling error. Generally a larger sample will produce a smaller sampling error. A measure commonly used to determine how well a survey estimated an item is called the coefficient of variation (CV). The CV is the ratio of the sampling error of an estimate to the estimate, expressed as a percent. The smaller the percent, the less sampling error is associated with the estimate. There were approximately 17,000 agricultural producers on the list frame and 12,277 samples from the area frame in our example of Ecuador. The data gathered were used to effectively estimate 23 permanent crops, 34 seasonal crops, 19 types of flowers, and 13 livestock species at the province level. In addition, 10 types of farm equipment, 12 types of buildings, farm labor, producer demographics and economic indicators were estimated at the national level. As a measure of how well the sample census performed, the census estimated 842,882 farms with a CV of 1.1% and 12,355,831 hectares of land in farms with a CV of 0.4% at the national level. Rice was grown on the most hectares in Ecuador in The estimate for hectares planted to rice had a CV of 1.5% and the number of rice farms had a CV of 1.7%. It is not too surprising to get this type of result on a crop as widely grown as rice. However, the pimiento estimate of just 956 hectares with a CV of 10.4% indicates the combination of list and area frame samples performed well. The livestock estimates also performed well. The cattle estimate had a CV of 0.8%, hogs 1.8% and sheep 2.2%. The census conducted in Ecuador is a good example of how an area frame can be used to provide a sample to be used in combination with a partial list of agricultural producers to provide reliable national and provincial level information when budget constraints do not allow for a complete agricultural census. Complete results can be obtained from the following Internet site:

### Agriculture Census of Cambodia

Agriculture Census of Cambodia 18-21 February 2014, Vientiane, Lao PDR Presented by: Department of Planning and Statistics, MAFF 13 March 2014 1 I. Introduction II. Global Census Program Contents III.

### Application of Area-frame sampling for agricultural statistics in China

Application of Area-frame sampling for agricultural statistics in China Yaozhong Pan 1, Minghua Wang 2, Ge Wei 2, Fenghua Wei 2, Kaifen Shi 2, Le Li 1, Guannan Sun 1 (1.College of Resources Science & Technology,

### Introduction to Sampling. Dr. Safaa R. Amer. Overview. for Non-Statisticians. Part II. Part I. Sample Size. Introduction.

Introduction to Sampling for Non-Statisticians Dr. Safaa R. Amer Overview Part I Part II Introduction Census or Sample Sampling Frame Probability or non-probability sample Sampling with or without replacement

### TANZANIA - Agricultural Sample Census 2007-2008 Explanatory notes

TANZANIA - Agricultural Sample Census 2007-2008 Explanatory notes 1. Historical Outline In 2007, the Government of Tanzania launched 2007/08 National Sample Census of Agriculture as an important part of

### Master Sampling Frame for Agriculture and Rural Statistics. Fred Vogel Gero Carletto The World Bank

Master Sampling Frame for Agriculture and Rural Statistics Fred Vogel Gero Carletto The World Bank What are the strategic directions of the Global Strategy? Broadens Scope of Agricultural Statistics Adds

### Farm Production Expenditures Methodology and Quality Measures

ISSN: 2166-966X Farm Production Expenditures Methodology and Quality Measures Released August 2, 2013, by the National Agricultural Statistics Service (NASS), Agricultural Statistics Board, United States

### Additional Criteria and Indicators for Cocoa Production

Additional Criteria and Indicators for Cocoa Production November 2005 (SAN): Conservación y Desarrollo (CyD), Ecuador Fundación Interamericana de Investigación Tropical (FIIT), Guatemala Fundación Natura,

### STATISTICAL PROFILE OF CAPE BRETON. Prepared By: Nova Scotia Federation of Agriculture

STATISTICAL PROFILE OF CAPE BRETON Prepared By: Nova Scotia Federation of Agriculture 1.0 Introduction Agriculture in the Local Economy Agriculture in Cape Breton is characterized by a diversity of farm

### Measuring Women Status And Gender Statistics in Cambodia Through the Surveys and Census

Global Forum on Gender Statistics 27 29 March 2012, Dead Sea, Jordan Measuring Women Status And Gender Statistics in Cambodia Through the Surveys and Census By Mrs. Hang Lina, Deputy Director General National

AgriInsurance in Canada Brad Klak, President and Managing Director Merle Jacobson, COO, Operations Division Agriculture Financial Services Corporation Alberta, Canada Agriculture in Canada Total Cash Receipts

### Supporting Online Material for Achard (RE 1070656) scheduled for 8/9/02 issue of Science

Supporting Online Material for Achard (RE 1070656) scheduled for 8/9/02 issue of Science Materials and Methods Overview Forest cover change is calculated using a sample of 102 observations distributed

### Integration of GIS and Multivariate Statistical Analysis in Master Plan Study on Integrated Agricultural Development in Lao PDR

Integration of GIS and Multivariate Statistical Analysis in Master Plan Study on Integrated Agricultural Development in Lao PDR GIS Makoto ISHIZUKA, Tetsunari GEJO, Shigeya OOTSUKA and Yukiyasu SUMI GIS

### Farm Business Survey - Statistical information

Farm Business Survey - Statistical information Sample representation and design The sample structure of the FBS was re-designed starting from the 2010/11 accounting year. The coverage of the survey is

### Statistical Profile of Lunenburg County

Statistical Profile of Lunenburg County Prepared by the Nova Scotia Federation of Agriculture 1 Contents 1.0 Introduction... 2 Agriculture in the Local Economy... 2 2.0 Population and Population Change...

### The settlement of San Francisco and the Land Use Changes in the Bay Area

The settlement of San Francisco and the Land Use Changes in the Bay Area Nelly Bourlion South Dakota State University Mid-Continent Regional Science Association 43rd Annual Conference June 7th, 2012 Outlines

### Fayette County Appraisal District

Fayette County Appraisal District Agricultural Guidelines July 7, 2010 A SUPPLEMENT TO THE STATE OF TEXAS PROPERTY TAX MANUAL FOR THE APPRAISAL OF AGRICULTUAL LAND AND WILDLIFE MANAGEMENT ACTIVITIES AND

### We can look at agricultural data in two general groups:

The agricultural statistics series will be based on the Global Strategy to Improve Agricultural and Rural Statistics that is located in the resource section and available from the Wikipedia web page (wiki.asfoc.ibge.gov.br).

### AN ANALYSIS OF AGRICULTURAL LIVELIHOOD ACTIVITIES PREVALENT AMONG RURAL FARMERS IN ITU L.G.A. AKWA IBOM STATE.

Copyright 2012 Devon Science Company ISSN: 2141-0097 Website: www.africanjournalseries.com AN ANALYSIS OF AGRICULTURAL LIVELIHOOD ACTIVITIES PREVALENT AMONG RURAL FARMERS IN ITU L.G.A. AKWA IBOM STATE.

### AGRICULTURAL PROBLEMS OF JAPAN

AGRICULTURAL PROBLEMS OF JAPAN Takeshi Kimura, Agricultural Counselor Embassy of Japan, Washington, D. C. I would like, first, to sketch the Japanese agricultural situation and, second, to review Japan's

### CHARACTERISATION OF SMALL FARMERS IN ASIA AND THE PACIFIC

APCAS/10/28 April 2010 Agenda item 10 ASIA AND PACIFIC COMMISSION ON AGRICULTURAL STATISTICS TWENTY-THIRD SESSION Siem Reap, Cambodia, 26-30 April 2010 CHARACTERISATION OF SMALL FARMERS IN ASIA AND THE

### Integration of Registers and Survey-based Data in the Production of Agricultural and Forestry Economics Statistics

Integration of Registers and Survey-based Data in the Production of Agricultural and Forestry Economics Statistics Paavo Väisänen, Statistics Finland, e-mail: Paavo.Vaisanen@stat.fi Abstract The agricultural

### Understanding Raster Data

Introduction The following document is intended to provide a basic understanding of raster data. Raster data layers (commonly referred to as grids) are the essential data layers used in all tools developed

### GIS APPLICATION FOR AGRICULTURAL COMMODITIES SUPPLY MONITORING IN VIETNAM: THE CASE OF COFFEE

GIS APPLICATION FOR AGRICULTURAL COMMODITIES SUPPLY MONITORING IN VIETNAM: THE CASE OF COFFEE Tran Thi Quynh Chi 1 1 Institute of Policy and Strategy Ministry of Agriculture and Rural Development, 6 Nguyen

### Rural Residential Buildable Lands Inventory

The Dalles Periodic Review, May 2013 Rural Residential Lands Inventory Contents Introduction and Summary... 1 Concerns related to the 2007 Analysis... 2 Rural Residential Capacity Summary... 2 Methodology...

### STANDARD QUESTIONNAIRE FOR REFERENCE ACKNOWLEDGEMENTS

STANDARD QUESTIONNAIRE FOR REFERENCE ACKNOWLEDGEMENTS This questionnaire is the result of work of a Task Team constituted by the Friends of Chair on Agriculture Statistics of the United Nations Statistical

### 1.1 What is statistics? Data Collection. Important Definitions. What is data? Descriptive Statistics. Inferential Statistics

1.1 What is statistics? Data Collection Chapter 1 A science (bet you thought it was a math) of Collecting of data (Chap. 1) Organizing data (Chap. 2) Summarizing data (Chap. 2, 3) Analyzing data (Chap.

### Agricultural Production and Land Use Season 2000A

REPUBLIC OF RWANDA MINISTRY OF AGRICULTURE, ANIMAL RESOURCES, AND FORESTRY Food Security Research Project (FSRP) and Division of Agricultural Statistics (DSA) Food Security Survey: Phase I Agricultural

### Why Sample? Why not study everyone? Debate about Census vs. sampling

Sampling Why Sample? Why not study everyone? Debate about Census vs. sampling Problems in Sampling? What problems do you know about? What issues are you aware of? What questions do you have? Key Sampling

### China s experiences in domestic agricultural support. Tian Weiming China Agricultural University

China s experiences in domestic agricultural support Tian Weiming China Agricultural University Contents Background The policy system Major measures and their implementation Empirical assessment of the

### Small Farm Modernization & the Quiet Revolution in Asia s Food Supply Chains. Thomas Reardon

Small Farm Modernization & the Quiet Revolution in Asia s Food Supply Chains Thomas Reardon Part 1 of Talk: Introduction to research issues and method 1. Introduction to Research Issues 1. Research past

### Country Paper of Laos

Country Paper of Laos First Economic Census of Lao PDR The 12 th East Asian Conference, 13-15 November 2008 Tokyo, Japan 1. INTRODUCTION Laos s statistical system has initiate developed since 1990 under

### CONTENTS ABSTRACT. KEYWORDS:. Forest ownership, forest conversion.

CONTENTS INTRODUCTION... Page PHYSICAL CHANGES IN COMMERCIAL FOREST AREA... 4 Nearly 1 million acres have been lost since 1945... 4 Road construction was leading cause of forest loss in the two states...

### Module EN: Developing a Reference Level for Carbon Stock Enhancements

USAID LEAF TECHNICAL GUIDANCE SERIES FOR THE DEVELOPMENT OF A FOREST CARBON MONITORING SYSTEM FOR REDD+ Module EN: Developing a Reference Level for Carbon Stock Enhancements USAID LEAF TECHNICAL GUIDANCE

### State of Ontario's Forests - Indicator Report

Criterion 1 Conserving Biological Diversity Element 1 Conserving Ecosystem Diversity Indicator 2 Levels of Fragmentation and Connectedness of Forest Ecosystem Components Indicator Condition State Trend

### Ponds- Planning, Design, Construction

United States Department of Agriculture Soil Conservation Service Agriculture Handbook Number 590 Ponds- Planning, Design, Construction This handbook describes the requirements for building a pond. It

### The Economic Contribution of Agriculture to the Economy of Utah in 2011

The Economic Contribution of Agriculture to the Economy of Utah in 2011 Ruby A. Ward Associate Professor Paul M. Jakus Professor Lassina Coulibaly Graduate Student Dept. of Applied Economics Utah State

### Cash Rents Methodology and Quality Measures

ISSN: 2167-129X Cash Rents Methodology and Quality Measures Released August 1, 2014, by the National Agricultural Statistics Service (NASS), Agricultural Statistics Board, United States Department of Agriculture

### Pesticide Statistics in Estonia Eda Grüner

Pesticide Statistics in Estonia Eda Grüner History Statistics Estonia started the collection of data on the use of pesticides in 1992 Total survey Agricultural and not-agricultural use Only enterprises

### Guidelines for Degraded Landscape Management (Deliverable #16) September 30, 2013

Biodiversity and Agricultural Commodities Program BACP-Rainforest Alliance Grant-015 ( Applying sustainable cocoa practices through agroforestry in community forest areas as a tool for achieving biodiversity

### ANNUAL QUALITY REPORT

REPUBLIC OF SLOVENIA ANNUAL QUALITY REPORT FOR THE CONSUMER OPINION SURVEY FOR 2012 Prepared by: Martin Bajželj, Marta Arnež Date: October 2013 1/12 Table of contents 0 Basic Data... 3 1 Relevance... 5

### Chapter 8: Quantitative Sampling

Chapter 8: Quantitative Sampling I. Introduction to Sampling a. The primary goal of sampling is to get a representative sample, or a small collection of units or cases from a much larger collection or

### Data network for better European organic market information SAMPLING. and its relevance for sound data collection

Data network for better European organic market information SAMPLING and its relevance for sound data collection OrganicDataNetwork Workshop, Bari, July 10 & 11, 2014 Corinna Feldmann, University of Kassel

### The Sample Overlap Problem for Systematic Sampling

The Sample Overlap Problem for Systematic Sampling Robert E. Fay 1 1 Westat, Inc., 1600 Research Blvd., Rockville, MD 20850 Abstract Within the context of probability-based sampling from a finite population,

### Improving Land Use Survey Method using High Resolution Satellite Imagery

Improving Land Use Survey Method using High Resolution Satellite Imagery M.H.B.P.H.MADANA March 2002 Improving Land Use Survey Method using High Resolution Satellite Imagery by M.H.B.P.H.MADANA Thesis

### CONDUCT OF FIFTH ECONOMIC CENSUS IN INDIA

CONDUCT OF FIFTH ECONOMIC CENSUS IN INDIA Introduction Economic Census is the complete count of all entrepreneurial units within geographical boundaries of the country. The main purpose of conducting economic

### Weed Survey and Mapping

Weed Survey and Mapping The primary objective of weed surveying and mapping is to accurately identify and delineate land with populations of invasive plants or noxious weeds. These surveys allow land managers

### The Characterisation of Six Natural Resources Production Systems. J. Taylor, M. Tang, C. Beddows, F.M. Quin, M.A. Stocking

The Characterisation of Six Natural Resources Production Systems J. Taylor, M. Tang, C. Beddows, F.M. Quin, M.A. Stocking August 2003 We wish to thank the following people and projects for supplying the

### Remote Sensing application for agricultural monitoring (Case studies: national assessments)

Space for Agriculture and Food Security Rome, WFP Headquarters, 8-9 March 2012 Remote Sensing application for agricultural monitoring (Case studies: national assessments) Renato Cumani Environment Officer

### Influence of shortage of water resources on rice production in India: A district-level analysis

Influence of shortage of water resources on rice production in India: A district-level analysis Hiroyuki KAWASHIMA * * Graduate School of Agricultural and Life Sciences, the University of Tokyo Summary

### 2.3 Mapping Earth s Physical Features A world physical features map shows information about. Physical Features. canyon. Word Bank

Read Section 2.3. Write one or two sentences describing the type of thematic map you read about. Then match the physical features in the Word Bank to their correct locations on the illustration. An example

### National Accounting Systems, Agricultural Statistics for Policy Analysis

National Accounting Systems, Agricultural Statistics for Policy Analysis Workshop on Measuring Sustainable Agriculture, Food Security and Poverty Alleviation for enhancing Accountability in the Post 2015

### Employment-Based Health Insurance: 2010

Employment-Based Health Insurance: 2010 Household Economic Studies Hubert Janicki Issued February 2013 P70-134 INTRODUCTION More than half of the U.S. population (55.1 percent) had employment-based health

### Thailand s Organic 2011. Vitoon Panyakul Green Net Earth Net vitoon@greennet.or.th

Thailand s Organic 2011 Vitoon Panyakul Green Net Earth Net vitoon@greennet.or.th Brief History (1) 1991 Chai Wiwat Agro-industry & Capital Rice Co started organic rice project 1992 Alternative Agriculture

### World Water and Climate Atlas

International Water Management Institute World Water and Climate Atlas Direct access to water and climate data improves agricultural planning The IWMI World Water and Climate Atlas provides rapid access

### TAMIL NADU SOCIOECONOMIC MOBILITY SURVEY (TNSMS)-1: PUBLIC USE DATABASE USER S REFERENCE

I. INTRODUCTION This User Reference describes the TNSMS multi-file structure for the listing, household, individual, married women, and community surveys, and provides guidelines on how to link files and

### Descriptive Methods Ch. 6 and 7

Descriptive Methods Ch. 6 and 7 Purpose of Descriptive Research Purely descriptive research describes the characteristics or behaviors of a given population in a systematic and accurate fashion. Correlational

### INSTITUTIONAL SUPPORT FOR AGENCY PARTNERSHIPS: EXPLORING PERSONNEL PERCEPTION AND WEBSITE CONTENT

1 INSTITUTIONAL SUPPORT FOR AGENCY PARTNERSHIPS: EXPLORING PERSONNEL PERCEPTION AND WEBSITE CONTENT Lori Barrow Department of Forestry Southern Illinois University Carbondale, IL 62901 lb463a@siu.edu Erin

### Statistics Knowledge Sharing Workshop on Measurements for the Informal Economy

NEPAL Statistics Knowledge Sharing Workshop on Measurements for the Informal Economy 14 15 May, 2013 New Delhi, India Outline of the Presentation 1. Background Information in measuring the informal sector.

### 1. Demographic Development

1. Demographic Development Accomplishments Over the Past Five Years The Alamo Area Metropolitan Planning Organization (MPO) continually improves upon its demographic forecasting processes and methodology.

### AIC Farm Bill Brief #1

University of California July 2007 Agricultural Issues Center AIC Farm Bill Brief #1 The Farm Bill and California Food and Agriculture* Daniel A. Sumner** Every five years or so the United States reconsiders

### GIS BASED LAND INFORMATION SYSTEM FOR MANDAL SOUM, SELENGE AIMAG OF MONGOLIA

GIS BASED LAND INFORMATION SYSTEM FOR MANDAL SOUM, SELENGE AIMAG OF MONGOLIA B. Tuul GTZ, Land Management and Fiscal Cadastre project, Government building 12, ALAGCaC, Ulaanbaatar, Mongolia tuul1119@yahoo.com,

### MEDIAN INCOME IN THE PAST 12 MONTHS (IN 2013 INFLATION-ADJUSTED DOLLARS)

S1903 MEDIAN INCOME IN THE PAST 12 MONTHS (IN 2013 INFLATION-ADJUSTED DOLLARS) 2013 American Community Survey 1-Year Estimates Supporting documentation on code lists, subject definitions, data accuracy,

### Agricultural Production and Research in Heilongjiang Province, China. Jiang Enchen. Professor, Department of Agricultural Engineering, Northeast

1 Agricultural Production and Research in Heilongjiang Province, China Jiang Enchen Professor, Department of Agricultural Engineering, Northeast Agricultural University, Harbin, China. Post code: 150030

### Impact Assessment of Irrigation Infrastructure Development on Poverty Alleviation A Case Study from Pakistan

Impact Assessment of Irrigation Infrastructure Development on Poverty Alleviation A Case Study from Pakistan Intizar Hussain Waqar Jehangir, Muhammad Mudasser, Aamir Nazir, and Mohammad Ashfaq International

### ECONOMIC CONTRIBUTION OF NORTH CAROLINA AGRICULTURE AND AGRIBUSINESS

ECONOMIC CONTRIBUTION OF NORTH CAROLINA AGRICULTURE AND AGRIBUSINESS \$76 BILLION Agriculture and Agribusiness, including the farming, processing, wholesaling and retailing of food, natural fiber and forestry

### Promoting pro-poor growth in Rwandan agriculture: What are the policy options?

Promoting pro-poor growth in Rwandan agriculture: What are the policy options? Michael Morris, Liz Drake, Kene Ezemenari, Xinshen Diao Analytical Approaches to Inclusive Growth PREM Learning Week 22 April

### Sampling in Marketing Research

Sampling in Marketing Research 1 Basics of sampling I A sample is a part of a whole to show what the rest is like. Sampling helps to determine the corresponding value of the population and plays a vital

### SECTOR ASSESSMENT (SUMMARY): AGRICULTURE AND NATURAL RESOURCES 1

Country Operations Business Plan: Philippines, 2013 2015 SECTOR ASSESSMENT (SUMMARY): AGRICULTURE AND NATURAL RESOURCES 1 A. Sector Performance, Problems, and Opportunities 1. Sector importance and growth

### Agriculture Technology and The Future of Farming

Agriculture Technology and The Future of Farming It s Not Your Grandfather s Farm, Anymore Robert Tse USDA Rural Development Embassy Suites Hotel Monterey, CA January 29, 2015 It s Not Your Grandfather

### 3.3 Normalised Difference Vegetation Index (NDVI) 3.3.1 NDVI: A non-technical overview

Page 1 of 6 3.3 Normalised Difference Vegetation Index (NDVI) 3.3.1 NDVI: A non-technical overview The Normalised Difference Vegetation Index (NDVI) gives a measure of the vegetative cover on the land

### Household Income Trends July 2016. Issued September 2016. Gordon Green and John Coder Sentier Research, LLC

Household Income Trends July 2016 Issued September 2016 Gordon Green and John Coder Sentier Research, LLC 1 Household Income Trends July 2016 Source This report on median household income for July 2016

### Trade Statistics and Capacity building in the Pacific

APCAS/10/18 April 2010 Agenda Item 7 ASIA AND PACIFIC COMMISSION ON AGRICULTURAL STATISTICS TWENTY-THIRD SESSION Siem Reap, Cambodia, 26-30 April 2010 Trade Statistics and Capacity building in the Pacific

### Description of Simandou Archaeological Potential Model. 13A.1 Overview

13A Description of Simandou Archaeological Potential Model 13A.1 Overview The most accurate and reliable way of establishing archaeological baseline conditions in an area is by conventional methods of

### ADAPTATION OF STATISTICAL MATCHING IN MICRO-REGIONAL ANALYSIS OF AGRICULTURAL PRODUCTION

ADAPTATION OF STATISTICAL MATCHING IN MICRO-REGIONAL ANALYSIS OF AGRICULTURAL PRODUCTION PESTI CS., KÁPOSZTA J.* Department of Farm Business Analysis, Research Institute for Agricultural Economics, 1093

### CHAPTER IV CHOOSING THE SAMPLE. This chapter is written for survey coordinators and technical resource persons. It will enable you to:

CHAPTER IV CHOOSING THE SAMPLE This chapter is written for survey coordinators and technical resource persons. It will enable you to: U Understand the basic concepts of sampling. U Calculate the required

### PACIFIC SOUTHWEST Forest and Range Experiment Station

FOREST SERVICE U. S. DEPARTMENT OF AGRICULTURE P.O. BOX 45, BERKELEY, CALIFORNIA 94701 PACIFIC SOUTHWEST Forest and Range Experiment Station U.S.D.A. FOREST SERVICE RESEARCH PAPER PSW- 51 /1969 CONTENTS

### Assessing Farmers' Sustainable Agricultural Practice Needs: Implication for a Sustainable Farming System

Assessing Farmers' Sustainable Agricultural Practice Needs: Implication for a Sustainable Farming System Hassan Sadighi, Assistant Professor Agricultural Extension and Education College of Agriculture

### CALIFORNIA GREEN ECONOMY SURVEY METHODOLOGY

CALIFORNIA GREEN ECONOMY SURVEY METHODOLOGY Introduction In the summer of 2008, the Labor Market Information Division (LMID) embarked on a study of the green economy in California. The goal was to obtain

### COMPARISON BETWEEN NATIONAL AGRICULTURAL INSURANCE SCHEME (NAIS), MODIFIED NAIS AND WBCIS PARAMETER NAIS MNAIS WBCIS

REVISED COMPARISON BETWEEN NATIONAL AGRICULTURAL INSURANCE SCHEME (NAIS), MODIFIED NAIS AND WBCIS S. No. PARAMETER NAIS MNAIS WBCIS 1 Insurance Unit Scheme provided for reduction of unit to Village Panchayat

### FARMING & RURAL SYSTEMS ECONOMICS edited ty Werner Doppler and Siegfried Bauer

FARMING & RURAL SYSTEMS ECONOMICS edited ty Werner Doppler and Siegfried Bauer VOLUME 56 Land Property Rights and Agricultural Development in the Highlands of Madagascar: Economic and Environmental Implications

### AGRICULTURAL USE OF PESTICIDES ON SANTA CRUZ

GALAPAGOS REPORT 2013-2014 HUMAN SYSTEMS AGRICULTURAL USE OF PESTICIDES ON SANTA CRUZ MEGAN O CONNOR AND NOÉMI D OZOUVILLE How to cite this article: O Connor M and N d Ozouville. 2015. Agricultural use

### agricultural economy agriculture CALIFORNIA EDUCATION AND THE ENVIRONMENT INITIATIVE I Unit 4.2.6. I Cultivating California I Word Wall Cards 426WWC

agricultural economy agriculture An economy based on farming or ranching. The practice of growing crops and raising animals for food, fiber, or other uses by humans. archaeological site archaeology A place

### Historical and projected deforestation rates 1990-2020 for Santo Island / Vanuatu

INTERNATIONAL CLIMATE INITIATIVE Regional project Climate Protection through Forest Conservation in Pacific Island Countries Historical and projected deforestation rates 1990-2020 for Santo Island / Vanuatu

### Data Collection and Sampling OPRE 6301

Data Collection and Sampling OPRE 6301 Recall... Statistics is a tool for converting data into information: Statistics Data Information But where then does data come from? How is it gathered? How do we

### The Brazilian experience in updating. geographic databases for surveys and census

The Brazilian experience in updating geographic databases for surveys and census Miriam Mattos da Silva Barbuda Directory of Geosciences - IBGE International Conference on Census Methods Washington DC

### Survey Sampling. Know How No 9 guidance for research and evaluation in Fife. What this is about? Who is it for? What do you need to know?

guidance for research and evaluation in Fife What this is about? Sampling allows you to draw conclusions about a particular population by examining a part of it. When carrying out a survey, it is not usually

### Chapter 1 Introducing GIS

Chapter Introducing GIS Learning objectives Learn what geographic information systems are used for Learn how GIS layers work Differentiate between GIS features and surfaces Obtain preliminary knowledge

### Report of the Oslo Group on Energy Statistics

DEPARTMENT OF ECONOMIC AND SOCIAL AFFAIRS STATISTICS DIVISION UNITED NATIONS First Meeting of the UN Committee of Experts on Environmental-Economic Accounting New York, 22-23 June 2006 United Nations Secretariat

### Inland Waterway Infrastructure - Mekong River cruise promoting factor. Tokyo September 2010

Inland Waterway Infrastructure - Mekong River cruise promoting factor Tokyo September 2010 Mekong river system Mekong river system Land and resources: Parts of China, Myanmar and Viet Nam, nearly 1/3 of

### E-commerce 2000 Note to readers Explanatory Notes B-to-B E-commerce Explanatory Notes

E-commerce 2000 This latest edition of E-Stats provides a snapshot of e-commerce activity for key sectors of the U.S. economy for 2000 and revises previously released data for 1999. The data are collected

### Outlook for the 2013 U.S. Farm Economy

Outlook for the 213 U.S. Farm Economy Kevin Patrick Farm and Rural Business Branch Resource and Rural Economics Division Highlights Net farm income in 213 forecast: \$128.2 billion Net cash income in 213

### Sampling and Sampling Distributions

Sampling and Sampling Distributions Random Sampling A sample is a group of objects or readings taken from a population for counting or measurement. We shall distinguish between two kinds of populations

### Paul Glewwe. Hai-Anh Hoang Dang. Department of Applied Economics University of Minnesota. June, 2007. Abstract

The Impact of Decentralized Data Entry on the Quality of Household Survey Data in Developing Countries: Evidence from a Randomized Experiment in Vietnam Paul Glewwe Hai-Anh Hoang Dang Department of Applied

### PLANT ECOLOGY. How many plants are in each plot? Why do different plants grow in different areas?

81 CHAPTER 1: 4: PLANT ECOLOGY You just have to start at a particular point and count. Concentrate on what you re doing and try not to lose track. LIZ JOHNSON (Plant Inventory, p.184) TARGET QUESTION:

### WEED MANAGEMENT PLAN FOR. (NAME of PROPERTY or MANAGED AREA) (TOWN or COUNTY, STATE) (TIME PERIOD; e.g. 1996-2000)

(WEED MANAGEMENT PLAN OUTLINE FOR PUBLIC LAND MANAGERS) (Note: This outline is a modification of a weed management plan template produced by The Nature Conservancy) WEED MANAGEMENT PLAN FOR (NAME of PROPERTY

### Observatory monitoring framework indicator data sheet

Observatory monitoring framework indicator data sheet Process: Farm Business Indicator B8: Diversification This indicator provides information about farms undertaking diversified activities. Diversified

### Tennessee Watershed Modeling Tools. Southern Region Watershed Meeting, July 2005. Forbes Walker University of Tennessee Extension

Tennessee Watershed Modeling Tools Southern Region Watershed Meeting, July 2005 Forbes Walker University of Tennessee Extension Outline Land Use and Water Quality in Tennessee Watershed models Watershed