Prediction of potato late blight disease incidence based on weather variables using statistical and machine learning models: A case study from West Bengal
Late blight is one of the most devastating diseases on potato the world over, including West Bengal, India. The economic and yield losses from outbreaks of potato late blight can be huge. In this article, application of statistical models such as autoregressive integrated moving average (ARIMA), au...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Association of agrometeorologists
2023-11-01
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| Series: | Journal of Agrometeorology |
| Subjects: | |
| Online Access: | https://journal.agrimetassociation.org/index.php/jam/article/view/2272 |