has been cited by the following article(s):
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[1]
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A Comprehensive Analysis of Deep Learning Techniques for Wheat Yellow Rust Disease Detection and Classification
2025 3rd International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT),
2025
DOI:10.1109/IDCIOT64235.2025.10915123
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[2]
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Predicting crop disease severity using real time weather variability through machine learning algorithms
Scientific Reports,
2025
DOI:10.1038/s41598-025-18613-7
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[3]
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New Horizons in Wheat and Barley Research
2022
DOI:10.1007/978-981-16-4134-3_2
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[4]
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Development and Validation of a Mechanistic, Weather-Based Model for Predicting Puccinia graminis f. sp. tritici Infections and Stem Rust Progress in Wheat
Frontiers in Plant Science,
2022
DOI:10.3389/fpls.2022.897680
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[5]
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COMMERCIAL ENTERPRISES STRATEGIC DEVELOPMENT MOTIVATIONAL COMPONENT IN CONDITIONS OF CHANGES
Market Infrastructure,
2020
DOI:10.32843/infrastruct45-24
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