Machine learning for yield prediction in Fergana valley, Central Asia
Accurate yield prediction is essential for growers, researchers, governments, the farming industry, and policymakers for social peace, food safety, security, and sustainable development. The results of earlier techniques of data collecting and analysis for yield forecasts were typically delayed, exp...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2023-02-01
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| Series: | Journal of the Saudi Society of Agricultural Sciences |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1658077X22000777 |