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Bin Li, Xiaolong Gao, Xuegeng Chen, Yang Liu, Shiguo Wang and Yuncheng Dong
To solve the problems associated with the poor harvesting ability of existing sunflower harvester cutting tables, and high seed drop rates, we designed a sunflower cutting table that can greatly improve the operational performance of sunflower combine ha...
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Jinwu Wang, Zhe Liu, Mao Yang, Wenqi Zhou, Han Tang, Long Qi, Qi Wang and Yi-Jia Wang
Weeds compete with rice for sunlight and nutrients and are prone to harboring pathogens, leading to reduced rice yields. Addressing the issues of low weeding efficiency and weed mortality rates in existing inter-row weeding devices, the study proposes th...
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Yadi Zhao, Lei Yan, Jian Wu and Ximing Song
To address the low level of intelligence and low utilization of logs in current rotary cutting equipment, this paper proposes a digital twin-based system for optimizing the rotary cutting of logs using a five-dimensional model of digital twins. The syste...
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Gulshan Saleem, Usama Ijaz Bajwa, Rana Hammad Raza and Fan Zhang
Surveillance video analytics encounters unprecedented challenges in 5G and IoT environments, including complex intra-class variations, short-term and long-term temporal dynamics, and variable video quality. This study introduces Edge-Enhanced TempoFuseNe...
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Dong-Jin Kim, Lwun Poe Khant, Daniel Darma Widjaja and Sunkuk Kim
The production of steel rebar is an energy-intensive process that generates CO2 emissions. In construction, waste is generated by cutting stock-length rebar to the required lengths. The reduction rate achieved in most previous studies was limited due to ...
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Ruicheng Gao, Zhancai Dong, Yuqi Wang, Zhuowen Cui, Muyang Ye, Bowen Dong, Yuchun Lu, Xuaner Wang, Yihong Song and Shuo Yan
In this study, a deep-learning-based intelligent detection model was designed and implemented to rapidly detect cotton pests and diseases. The model integrates cutting-edge Transformer technology and knowledge graphs, effectively enhancing pest and disea...
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Shaobo Ye, Xinchi Zhang, Qi Wang, Xin Li, Fenshan Hu, Haiyan Song and Decong Zheng
Mechanical weeding is an important technical means for organic and regenerative agricultural systems. Current weed control equipment has a variety of problems, such as difficulty adapting to high-stalk crops and poor operational quality. A high-clearance...
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Dong Jiang, Zhuohuai Guan, Lan Jiang, Jun Wu, Qing Tang, Chongyou Wu and Yajun Cai
To address the lack of available information on the soil physical conditions suitable for rapeseed blanket-shaped seedling transplanting, as well as the lack of protocols for the optimisation of soil tillage components in the utilisation of an integrated...
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Limei Ma, Yongheng Zhang, Yuli Niu, Yong Zhao, Shaoya Guan, Zijing Wang and Tuoda Wu
Ball-shell rotors with non-standard shapes, non-uniform conductive coatings, and eccentric masses machined by conventional processes constrain the improvement of levitation and torque accuracy of magnetically levitated momentum balls. This paper focuses ...
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Wenjun Li, Bingrong Wu, Bao Hu, Yanan Wan, Jichuan Wang and Mengmeng Jia
In recent years, severe hailstorms have caused damage to cotton leaves and stalks. In order to identify the effects of cotton leaf damage on its dry matter accumulation, protective enzyme activity and yield in different periods, in this experiment, diffe...
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