Advanced Algorithmic Model for Real-Time Multi-Level Crop Disease Detection Using Neural Architecture Search
Efficient crop disease management shows great promise in optimizing the agricultural industry. Accurate identification of infection levels is crucial for implementing effective and efficient disease treatments. However, accurately identifying and locating crop diseases in complex, unstructured field...
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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: | E3S Web of Conferences |
Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/01/e3sconf_icegc2024_00032.pdf |
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