Hybrid Ensemble Learning With CNN and RNN for Multimodal Cotton Plant Disease Detection

In agriculture, accurate and timely detection of plant diseases is crucial for minimizing crop losses and ensuring food security. Traditional methods of plant disease detection often rely on visual inspection and single-modal data analysis, which can be limited in their diagnostic accuracy. This stu...

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Principais autores:	Anita Shrotriya, Akhilesh Kumar Sharma, Amit Kumar Bairwa, R. Manoj
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	IEEE 2024-01-01
סדרה:	IEEE Access
נושאים:	Multimodal plant disease detection convolutional neural networks (CNNs) recurrent neural networks (RNNs) ensemble learning
גישה מקוונת:	https://ieeexplore.ieee.org/document/10792887/
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