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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.

Nov19-2020-3pm-DanielKpienbaareh.mp4.srt (10 kB)
SRT File for Daniel Kpienbaareh's lightning talk.

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Nov 19th, 3:00 PM Nov 19th, 3:00 PM

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