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Jinkang Jiao, Lian Hu, Gaolong Chen, Chaowen Chen and Ying Zang
Weeds in paddy fields can seriously reduce rice yield. An intra-row weeding device with double-layer elastic rods was designed, considering the differences in mechanical properties between rice and weeds, which can press weeds into the soil and avoid dam...
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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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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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Hailiang Gong, Xi Wang and Weidong Zhuang
This study focuses on real-time detection of maize crop rows using deep learning technology to meet the needs of autonomous navigation for weed removal during the maize seedling stage. Crop row recognition is affected by natural factors such as soil expo...
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Tao Sun, Longfei Cui, Lixuan Zong, Songchao Zhang, Yuxuan Jiao, Xinyu Xue and Yongkui Jin
The high cost of manual weed control and the overuse of herbicides restrict the yield and quality of soybean. Intelligent mechanical weeding and precise application of pesticides can be used as effective alternatives for weed control in the field, and th...
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Shenghao Ye, Xinyu Xue, Shuning Si, Yang Xu, Feixiang Le, Longfei Cui and Yongkui Jin
Although there are existing interplant weed control devices for soybeans, they mostly rely on image recognition and intelligent navigation platforms. Simultaneously, automated weed control devices are not yet fully mature, resulting in issues such as hig...
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Hafiza Sundus Fatima, Imtiaz ul Hassan, Shehzad Hasan, Muhammad Khurram, Didier Stricker and Muhammad Zeshan Afzal
Weed management is becoming increasingly important for sustainable crop production. Weeds cause an average yield loss of 11.5% billion in Pakistan, which is more than PKR 65 billion per year. A real-time laser weeding robot can increase the crop?s yield ...
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