SVFRH: A Growth Stage-Based Compartmental Model for Predicting the Disease Incident in Tomato (Solanum lycopersicum)
The tomato is one of the most widely cultivated crops globally, yet it faces susceptibility to various diseases, resulting in substantial yield losses. Over decades, research has primarily focused on addressing these challenges through computer vision and deep learning techniques. In this work, we e...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10869472/ |
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