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Rutuja Rajendra Patil, Sumit Kumar, Shwetambari Chiwhane, Ruchi Rani and Sanjeev Kumar Pippal
The pathogens such as fungi and bacteria can lead to rice diseases that can drastically impair crop production. Because the illness is difficult to control on a broad scale, crop field monitoring is one of the most effective methods of control. It allows...
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Qasem Abu Al-Haija, Manaf Gharaibeh and Ammar Odeh
Weather detection systems (WDS) have an indispensable role in supporting the decisions of autonomous vehicles, especially in severe and adverse circumstances. With deep learning techniques, autonomous vehicles can effectively identify outdoor weather con...
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Longhui Yu, Yuhai Pu, Honglei Cen, Jingbin Li, Shuangyin Liu, Jing Nie, Jianbing Ge, Linze Lv, Yali Li, Yalei Xu, Jianjun Guo, Hangxing Zhao and Kang Wang
We propose a lightweight neural network-based method to detect the estrus behavior of ewes. Our suggested method is mainly proposed to solve the problem of not being able to detect ewe estrus behavior in a timely and accurate manner in large-scale meat s...
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Xiaopeng Li and Shuqin Li
The complex backgrounds of crop disease images and the small contrast between the disease area and the background can easily cause confusion, which seriously affects the robustness and accuracy of apple disease- identification models. To solve the above ...
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