Development and Evaluation of a Deep Learning Based System to Predict District-Level Maize Yields in Tanzania

Prediction of crop yields is very helpful in ensuring food security, planning harvest management (storage, transport, and labor), and performing market planning. However, in Tanzania, where a majority of the population depends on crop farming as a primary economic activity, the digital tools for pre...

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Hlavní autoři:	Isakwisa Gaddy Tende, Kentaro Aburada, Hisaaki Yamaba, Tetsuro Katayama, Naonobu Okazaki
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2023-03-01
Edice:	Agriculture
Témata:	electronic-agriculture digital farming machine learning yield prediction remote sensing short message service (SMS)
On-line přístup:	https://www.mdpi.com/2077-0472/13/3/627
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