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Fengyun Xie, Gang Li, Hui Liu, Enguang Sun and Yang Wang
In the context of addressing the challenge posed by limited fault samples in agricultural machinery rolling bearings, especially when early fault characteristics are subtle, this study introduces a novel approach. The proposed multi-domain fault diagnosi...
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Chao Chen, Feng Wang, Yuzhe Cai, Shanlin Yi and Baofeng Zhang
This study aims to improve the Agaricus bisporus detection efficiency and performance of harvesting robots in the complex environment of the mushroom growing house. Based on deep learning networks, an improved YOLOv5s algorithm was proposed for accurate ...
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Jie Zhao, Xiaobo Xi, Yangjie Shi, Baofeng Zhang, Jiwei Qu, Yifu Zhang, Zhengbo Zhu and Ruihong Zhang
Prior to dispatch from manufacturing facilities, seeders require rigorous performance evaluations for their seeding capabilities. Conventional manual inspection methods are notably less efficient. This study introduces a wheat seeding detection approach ...
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Tim Birr, Andreas Tillessen, Joseph-Alexander Verreet, Mario Hasler and Holger Klink
The application of fungicides in maize by the commonly used overhead spraying technique is more challenging than in small-grain cereals. Especially in later development stages, when the plant has reached a considerable height, lower plant organs (e.g., e...
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Mengbing Cao, Qianying Yi, Kaiying Wang, Jiangong Li and Xiaoshuai Wang
Precise ventilation rate estimation of a naturally ventilated livestock building can benefit the control of the indoor environment. Machine learning has become a useful technique in many research fields and might be applied to ventilation rate prediction...
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