Predicting yields using biophysical crop simulations, machine learning and remote sensing in India

We tested the innovation and piloted it using ground truth yield data collected by means of crop cutting experiments in Odisha. Before starting to finalize the tool for adoption by insurance providers, the tool will be fine-tuned in the course of 2021.

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Bibliographic Details
Main Author: CGIAR Platform for Big Data in Agriculture
Format: Report biblioteca
Language:English
Published: 2020-12-31
Subjects:yields, remote sensing, development, innovation, rural development, data, insurance, learning, adoption, systems, agrifood systems, experiments, machine learning, cutting,
Online Access:https://hdl.handle.net/10568/122969
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