A generic Decision Support System for integrated weed management

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1 A generic Decision Support System for integrted weed mngement By: Per Rydhl, IPM Consult, Denmrk nd: Nicols Munier-Jolin (INRA), Frnce Robert Msin, University of Pdov, Itly Murizio Sttin (IBAF-CNR), Itly Emnuele Germinini, Università di Bologn, Itly Robert Lescovcek (KIS), Sloveni Arnd Verschwele (JKI), Germny Ole M Bojer, IPM Consult, Denmrk Poznn, 15th Jnury 2015

2 Chnge of jobs Mr Per Rydhl nd Mr Ole M Bojer From 1 October, 2014: Owners of IPM Consult Ltd., Denmrk (new SME) focus on DSS for IWM finlize DSS citivities in PURE Speker's nme Meeting nd dte

3 EU-project ENDURE Anlyses of 70 Europen DSS on IPM 9 DSS on weed control Best prts in 3 DSS: 1. DecidHerb Weed Potentil Thret (WPT) 2. CPO-weeds Trget Efficcy (TE) Herbicide dose-response functions Optimiztion of herbicide tnk-mixtures 3. GestInf : Economic Net Return (ENR)

4 New DSS ides of potentil Weeds re not evenly distributed Different weeds cuse different losses Different control mesures provide different efficcy -> so, rtionl weed mngement is complex! Combine: field reports results from weed reserch nd expert knowledge legl restrictions Expected results: sfe control legl control reduced cost/tfi good complince with IPM

5 Decision flow Field report DSS Tretment options 1) 1) Multiple tretments -> multible field reports DSS - decision engine : 1. Needs for weed control (WPT / TE) 2. Legl restrictions 3. Herbicides nd dose rtes 4. Optimized tnk-mixtures 5. Non-chemicl control 6. Mx. Economic Net Return (ENR), or, min. cost, TFI, etc. Speker's nme Meeting nd dte

6 Integrted best prts - Weed Potentil Thret (WPT) Decision lgorithms - fuzzy logic : WPT in ctul crop WPT in crop rottion ctul WPT = mximum In mize: WPT in ctul crop exceeds WPT in crop rottions -> WPT in crop rottion cn be ignored (simpler design) Speker's nme Meeting nd dte

7 Integrted best prts - Trget Efficcy (TE) Decision lgorithms - designed by experts to void: yield loss propgtion of weeds nd more Speker's nme Meeting nd dte

8 Efficcy (%) Integrted best prts - herbicide dose-response functions 100 Species A Species B Species C Efficcy trget 50 Actul dose 0 0,01 0,10 1,00 10,00 Rte

9 Integrted best prts - optimiztion of herbicide tnk-mixtures Liner optimiztion Meet needs for control (TE / WPT) Minimize e.g. cost, TFI Include 2-4 wy herbicide mixtures Add djuvnts s required Speker's nme Meeting nd dte

10 Integrted best prts - Economic Net Return (ENR) Yield loss (%) Yield loss, not treted Yield loss, treted Efficcy Initil weed infesttion Weed density (plnts/m 2 ) ENR = vlue of reduced yield loss cost of tretment

11 New fetures Anti herbicide resistnce strtegies Control of resistnt biotypes: resistnt biotype = new weed species utomtic selection of lterntives Prevention/dely of resistnce: now in design phse Mechnicl weed control Speker's nme Meeting nd dte

12 Customiztion Crop = mize Needs for control: WPT: very sfe relible TE: relible risky Control: herbicides mechnicl (to prove concept) Country prtners decide: Country Herbicides Weeds Sloveni Itly Germny 29 58

13 IT system rchitecture Code: ASP.net / JAVA (2001) Microsoft SQL dtbses: estimtes of prmeters user-interfces everything! New IT system rchitecture: now in design phse better, fster, new fetures

14 Bencmrks of DSS with IPM - Directive 2009/128/EC No Principle DSS 1 Crop rottion, fertiliztion, soil cultivtion, etc. No 2 Monitoring Yes 3 Thresholds Yes 4 Non-chemicl control Yes 5 Trgeted use of herbicides Yes 6 Use of herbicides on necescry levels Yes 7 Anti-resistnce strtegies Yes 8 Evlution Yes Speker's nme Meeting nd dte

15 Field tests of DSS - experimentl protocol 3 countries x 2 yers x 2 sites = 12 trils Tretments: Untreted Stndrd = locl best prctice DSS WPT very sfe DSS WPT relible DSS TE relible DSS TE risky Mesurements: Efficcy, yield, residul weeds Cost/TFI

16 Results from field tests of DSS in Sloveni (exmples from 2014) by Robert Leskovšek Igor Zidrič Gregor Urek Speker's nme Meeting nd dte

17 2014, efficcy

18 2014, residul weeds

19 2014, yield

20 2014, TFI

21 Results from field tests of DSS in Itly (exmples from 2013) by Robert Msin, University of Pdov, Itly Murizio Sttin (IBAF-CNR), Itly Emnuele Germinini, Università di Bologn, Itly Speker's nme Meeting nd dte

22 2013, site A ET risky Untreted b ET relible ET risky WPT relible ET relible b WPT very sfe WPT relible WPT very sfe Frmer's prctice Frmer's prctice Efficcy (%) Grin yield (hkg/h) (letters indicte significnt differences (t P<0.05 Tukey's HSD test) Untreted ET risky b ET relible b WPT relible b WPT very sfe b Frmer's prctice b Weed Biomss (g/m 2 )

23 2013, site B ET risky Untreted ET relible ET risky WPT relible WPT very sfe ET relible WPT relible WPT very sfe Frmer's prctice Frmer's prctice Efficcy (%) Grin yield (hkg/h) Untreted ET risky b ET relible WPT relible WPT very sfe b b b Frmer's prctice b Weed Biomss (g/m 2 )

24 Cost, vg. 4 trils Tretment Cost Cost (Euro/h) (%) Untreted 0 Stndrd % WPT relible 66 82% WPT very sfe % TE risky 77 96% TE relible % Speker's nme Meeting nd dte

25 Results from field tests of DSS in Germny (verges of ) by Arnd Verschwele Julius- Kühn-Institut, Brunschweig Speker's nme Meeting nd dte

26 Efficcy, vg. 3 trils

27 Yield, vg. 3 trils

28 TFI, vg. 3 trils Nr. Tretments Site A TFI Site B 1 Untreted TE relible TE risky WPT relible WPT very sfe Stndrd

29 Common conclusions A generic, online DSS for IWM hs been designed nd constructed Complince with 7/8 generl principles on IPM Customiztion for mize in Sloveni, Itly nd Germny Recommendtions re trceble Need for: check/correction of strnge behvior by some prototypes inclusion of more herbicides, weeds nd dt

30 Conclusions from Sloveni 3/4 trils nd 2/4 DSS prototypes show tht: efficcy, yield nd residul weeds were on level with locl stndrds TFI ws reduced by 20-40% Speker's nme Meeting nd dte

31 Conclusions from Itly 4/4 trils nd 2/4 DSS prototypes show tht: efficcy, yield nd residul weed infesttion were on level with locl stndrds cost ws +/ % Speker's nme Meeting nd dte

32 Conclusions from Germny 3/4 trils nd 4/4 DSS prototypes show tht: efficcy nd yield were on level with locl stndrds TFI vried from +60% to -70% (vrying stndrds) Speker's nme Meeting nd dte

33 Bottlenecks Limited ccess to dt on herbicide efficcy (joint problem for DSS nd IPM) Limited interest for field inspections (ENDURE) Speker's nme Meeting nd dte

34 Perspectives Results from PURE indicte tht the DSS hs potentil for upscling: more crops more countries just give us more dt, more money nd more time Speker's nme Meeting nd dte

35 Online demonstrtion Tody, Mrket squre, room GAMMA 15 min. introductions: 16:30, 17:00,17:30,18:00 hours THANK YOU FOR YOUR ATTENTION Speker's nme Meeting nd dte

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