Tomato Plant Disease Detection using Convolutional Neural Network: a Comparative Evaluation with Traditional Machine Learning Models
Overall accuracy alone is insufficient for judging the reliability of multi-class plant disease detection systems, and practical deployment of CNN-based tomato disease detection therefore requires improved class balance, stronger validation, and attention to computational performance.
T. Adebiyi, A. Esan, A. Sobowale et al.
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