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Shiwei Ruan, Hao Cang, Huixin Chen, Tianying Yan, Fei Tan, Yuan Zhang, Long Duan, Peng Xing, Li Guo, Pan Gao and Wei Xu
Early detection and diagnosis of crop anomalies is crucial for enhancing crop yield and quality. Recently, the combination of machine learning and deep learning with hyperspectral images has significantly improved the efficiency of crop detection. Howeve...
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Weipeng Zhang, Bo Zhao, Liming Zhou, Jizhong Wang, Kang Niu, Fengzhu Wang and Ruixue Wang
In view of the difficulty in diagnosing and discriminating fault conditions during the operation of combine harvesters, difficulty in real-time processing of health status, and low timeliness of fault processing, a comprehensive operation and maintenance...
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Yaoming Li, Yanbin Liu, Kuizhou Ji and Ruiheng Zhu
The single HST (Hydro Static Transmission) mechanical differential transmission gearbox of crawler combine harvester is subjected to the impact of alternating loads in the field operation, resulting in its fatigue failure. The traditional durability fati...
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Norberto Pelegrín Entenza, Antonio Vázquez Pérez and Analién Pelegrín Naranjo
The objective of the work was to assess and identify potential perspectives for the development of agrotourism activity in the Hacienda Guachinango del Valle de los Ingenios in the Trinidad municipality, so that the methodology applied and the results ac...
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