A Data-Driven Strategy for Long-Term Agrarian Sustainability using the Application of Machine Learning Algorithms to Predictive Models for Pest and Disease Management
The reactive pest and disease management strategies implemented for sustainable agriculture are delayed, pesticide use is high, and crop losses are high due to human monitoring. It is not very efficient, not free of errors prone, and not environmentally friendly. In order to address these problems,...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2025-01-01
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| Series: | SHS Web of Conferences |
| Online Access: | https://www.shs-conferences.org/articles/shsconf/pdf/2025/07/shsconf_iciaites2025_01033.pdf |
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