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Combining seasonal forecasts and artificial intelligence to improve agronomy at scale

author(s) CGIAR Research Program on Climate Change, Agriculture and Food Security
from CGIAR - Research Programs and Platforms
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CGIAR Research Program on Climate Change, Agriculture and Food Security. 2019. Combining seasonal forecasts and artificial intelligence to improve agronomy at scale. Reported in Climate Change, Agriculture and Food Security Annual Report 2019. Innovations.
Combining seasonal forecasts and artificial intelligence to improve agronomy at scale

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Abstract

We have used the approach developed by Dorado et al. (2019) (see link provided) combined with seasonal forecasts (Esquivel et al., 2018) to produce a proof of concept where we combine seasonal forecasts and artificial intelligence prediction models for optimizing agronomic practices.

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