development of a tool to monitor crop growth and grain yield in córdoba, argentina antonio de la...
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![Page 1: Development of a tool to monitor crop growth and grain yield in Córdoba, Argentina Antonio de la Casa and Gustavo Ovando Facultad de Ciencias Agropecuarias](https://reader035.vdocuments.us/reader035/viewer/2022062516/56649dd95503460f94acea87/html5/thumbnails/1.jpg)
Development of a tool to monitor Development of a tool to monitor crop growth and grain yield in crop growth and grain yield in
Córdoba, ArgentinaCórdoba, Argentina
Antonio de la Casa and Gustavo Ovando Antonio de la Casa and Gustavo Ovando
Facultad de Ciencias Agropecuarias – UNCFacultad de Ciencias Agropecuarias – UNC
CREAN CREAN
Córdoba, ArgentinaCórdoba, Argentina
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Relevance of the topic selected
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FAO model FAO model (Doorembos and Kassam, 1979)(Doorembos and Kassam, 1979)
max1
max1
ET
ETaKy
Y
Yai
Where
Ya/Ymax is the relative yield; (1-Ya/Ymax) the relative yield decrease;
ETa/ETmax the relative evapotranspiration; (1-ETa/ETmax) the water stress or relative evapotranspiration deficit;
Ky is the response of yield to water stress for a given environment.
∑NDVIa: actual NDVI sum for crop cycle
∑NDVImax: maximum NDVI sum for crop cycle
maxNDVI
NDVI1
max1
aKy
Y
Yai
Relative NDVI values substitutesthose of Relative evapotranspiration (Funk and Buddle, 2009)
Conceptual framework
Operative framework
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Objective of application
Develop a procedure to estimate corn and soybean yield in Cordoba province, Argentina.
Use different ILWIS routines to calculate FAO Model crop productivity from NDVI MODIS and local (in situ) data.
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Flow diagram Flow diagram
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❶ ❶ MODIS 250 m NDVI imagesMODIS 250 m NDVI images
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❸ ❸ Image Classification
Late soybean:iff(band_1>0.6,iff(band_7<0.3,iff(band_11>0.7,1,0),0),0)
Early soybean: iff(band_1<0.3,iff(band_8>0.7,iff(band_15<0.3,1,0),0),0)
Corniff(band_1<0.3,iff(band_6>0.6,iff(band_15<0.3,1,0),0),0)
iff(band_1<0.3,iff(band_7>0.7,iff(band_15<0.3,1,0),0),0)
soybean:=iff((soybean_1=1 )OR (soybean_2=1),1,0)
corn:=iff((corn_1=1 )OR(corn_2=1),1,0)
Late soybean
Early soybean
Corn
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❼ ❼ YMax=∑(YMax=∑(fCov*PAR)*fCov*PAR)*ε*ε*HIHI
Ymax_soybean:=iff(soybean=1,Sum_fCov_Par_01*1.8*0.47*10,?)Ymax_corn:=iff(corn=1,Sum_fCov_Par_01*3.8*0.47*10,?)
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❽ ❽ Ya=Ymax-Ymax*Ky*(1-∑NDVI/∑Ya=Ymax-Ymax*Ky*(1-∑NDVI/∑NDVImax)NDVImax)
Ya_soybean:=iff(soybean=1,Ymax_soybean-Ymax_soybean*1.3*(1-ndvi_suma/7.6),?)
Ya_corn:=iff(corn=1,Ymax_corn-Ymax_corn*1.5*(1-ndvi_suma/7.6),?)
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❾ ❾ Image masking Image masking
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❿ ❿ Departmental YieldDepartmental Yield
soybean corn
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Conclusions
• It was estimated corn and soybean yields in Cordoba, Argentina, using only NDVI and solar radiation data as background information.
• This first prototype, despite its simplified design, produce objective results to contrast with the more qualitative method currently used by the state agency.
• The FAO method for estimating crop productivity structured in GIS is flexible to incorporate modular routines to calculate Ymax, ETmax and ETa using methodologies of more complexity and accuracy derived from remote sensing.
• Improving the procedure at a later stage should take into account satellite imagery to evaluated the different sensitivity to water stress of crops at different phenological stages.