文章名稱引用次數(shù)

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• Detection and classification of citrus diseases in agriculture based on optimized weighted segmentation and feature selection41
• Impact of dataset size and variety on the effectiveness of deep learning and transfer learning for plant disease classification32
• An IoT based smart irrigation management system using Machine learning and open source technologies28
• Deep convolutional neural networks for mobile capture device-based crop disease classification in the wild27
• Feeding behavior recognition for group-housed pigs with the Faster R-CNN26
• Multi-modal deep learning for Fuji apple detection using RGB-D cameras and their radiometric capabilities24
• CCDF: Automatic system for segmentation and recognition of fruit crops diseases based on correlation coefficient and deep CNN features22
• Application of artificial neural networks for predicting tree survival and mortality in the Hyrcanian forest of Iran21