has been cited by the following article(s):
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[1]
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Mango fruit diseases severity estimation based on image segmentation and deep learning
Discover Applied Sciences,
2025
DOI:10.1007/s42452-025-06550-z
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[2]
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Evaluating Watermelon Mosaic Virus Seriousness with Hybrid RNN and Random Forest Model: A Five-Degree Approach
2024 11th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO),
2024
DOI:10.1109/ICRITO61523.2024.10522240
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[3]
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VGG-16 based Deep Learning Approach for Plant Species Detection
2024 International Conference on Advances in Modern Age Technologies for Health and Engineering Science (AMATHE),
2024
DOI:10.1109/AMATHE61652.2024.10582179
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[4]
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Plant Health and Severity Recognition System for Pechay (Brassica rapa ssp. chinensis) Using Convolutional Neural Network
2024 International Electronics Symposium (IES),
2024
DOI:10.1109/IES63037.2024.10665870
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[5]
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Advancements and outlooks in utilizing Convolutional Neural Networks for plant disease severity assessment: A comprehensive review
Smart Agricultural Technology,
2024
DOI:10.1016/j.atech.2024.100573
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[6]
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Deep learning methods for enhanced stress and pest management in market garden crops: A comprehensive analysis
Smart Agricultural Technology,
2024
DOI:10.1016/j.atech.2024.100521
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[7]
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Cereal Plants Classification and Disease Identification with Severity Scoring
2024 International Conference on Cybernation and Computation (CYBERCOM),
2024
DOI:10.1109/CYBERCOM63683.2024.10803132
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