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Predicting yields using biophysical crop simulations, machine learning and remote sensing in India
| Content Provider | Consultative Group on International Agricultural Research (CGIAR) |
|---|---|
| Organization | CGIAR Platform for Big Data in Agriculture |
| Spatial Coverage | India [IN] |
| Description | 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. |
| Related Links | https://cgspace.cgiar.org/items/2e62291c-82b9-4e08-b976-11efb3dbfbd7 |
| File Format | |
| Language | English |
| Publisher Date | 2020-12-31 |
| Access Restriction | Open |
| Subject Keyword | Big Data Yields Remote Sensing Development Innovation Rural Development Data Insurance Learning Adoption Systems Agrifood Systems Experiments Machine Learning Cutting |
| Content Type | Text |
| Resource Type | Report |
| Subject | Agronomy and Crop Science Food Science Plant Science |