Dear Don
A few extra pieces of information
A description they provided:
The CropLocator is an unsupervised machine learning based solution which leverages merged data on weather, climate, soil,
and landscape, to identify similar agro-ecological zones. In total over 100 parameters are used to identify similarities and the current version comprises a little shy of 2000 of these AEZs globally. We then cross match based on geocoordinates a carefully
curated database of crops with these AEZs to identify potential suitable sites for cultivation.
We of course have the ability to identify the criteria driving the “predictions”, although in some cases it is a complex non linear ensemble
of factors which leads. Factors such as temperature above ground (daily averages and variances), rain fall, surface solar radiation, top soil organic content, are usually amongst the most common drivers.
They have agreed to have a session and provide more background if you are interested to join?
2) We have a session on millets at Society for Nutrition Education and Behavior
International Conference in Washington, DC July 20 – 23. Our panel is Dr
Serah Theuri, Food and Nutrition Program, University of Southern Indiana,
Agnes Mwangwela, Stacia Nordin, and me.
https://www.sneb.org/sneb-2023/
3) I thought these millet recipes have spectacular photos and definitely make you want to try it:
https://sdg2advocacyhub.org/chefs-manifesto/news/magnificent-millets-recipe-collection-iym2023
Millets, an alternative crop to corn and soybeans, is getting new attention in the U.S. The resilient grain could help U.S. farmers survive climate change.
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