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Location
London, Ontario
Website
https://ir.lib.uwo.ca/cgi/viewcontent.cgi?article=1044&context=awc_abstracts
Start Date
19-11-2020 3:00 PM
End Date
19-11-2020 3:00 PM
Description
The study used random forest regression analysis to predict groundnut yields based on yield data, in-situ leaf area index and vegetation indices. I used ArcGIS Pro and ArcMap for computing vegetation indices and creating yield prediction maps.
SRT File for Daniel Kpienbaareh's lightning talk.
Estimating yield of household groundnut fields in rural smallholder farming systems and its implication for food security, Lightning Talk (7 min)
London, Ontario
The study used random forest regression analysis to predict groundnut yields based on yield data, in-situ leaf area index and vegetation indices. I used ArcGIS Pro and ArcMap for computing vegetation indices and creating yield prediction maps.
https://ir.lib.uwo.ca/wlgisday/2020/lighteningtalks/4