Decision-support tools remove the guesswork from agronomic innovation
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Published on
11.12.18
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Decision-support tools being piloted in Nigeria and Tanzania can help cassava growers decide if agronomic recommendations will be profitable under their local conditions. Crop yields in Africa are often limited because farmers and extension agents lack reliable agronomic recommendations that are tailored for their local conditions. For example, judging the most effective quantity of fertilizer depends on […]
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