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Denan Zhao, Simon Cooper, Parmjit Chima, Guobin Wang, Lechun Zhang, Binshu Sun, Xuejian Zhang and Yubin Lan
Utilizing agricultural UAVs for pesticide and insecticide spraying is an effective measure for plant protection. However, achieving effective coverage on the back side of target is often challenging. To address this issue, this study combined a contact-c...
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Jinkai Guo, Xiao Xiao, Jianchi Miao, Bingquan Tian, Jing Zhao and Yubin Lan
In order to achieve accurate detection of mature Zanthoxylum in their natural environment, a Zanthoxylum detection network based on the YOLOv5 object detection model was proposed. It addresses the issues of irregular shape and occlusion caused by the gro...
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Yuanhong Li, Jiapeng Liao, Jing Wang, Yangfan Luo and Yubin Lan
The automated harvesting of clustered fruits relies on fast and accurate visual perception. However, the obscured stem diameters via leaf occlusion lack any discernible texture patterns. Nevertheless, our human visual system can often judge the position ...
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Yali Zhang, Junqi Xiao, Kangting Yan, Xiaoyang Lu, Wanjian Li, Haoxin Tian, Linlin Wang, Jizhong Deng and Yubin Lan
Crop nutrient biochemical information (mainly including chlorophyll class and nutrient elements mainly nitrogen, phosphorus and potassium) is an important basis for revealing crop growth and development patterns and their relationship with the environmen...
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Jizhong Deng, Chang Yang, Kanghua Huang, Luocheng Lei, Jiahang Ye, Wen Zeng, Jianling Zhang, Yubin Lan and Yali Zhang
The realization that mobile phones can detect rice diseases and insect pests not only solves the problems of low efficiency and poor accuracy from manually detection and reporting, but it also helps farmers detect and control them in the field in a timel...
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Hang Xu, Lili Yi, Chuanyong Li, Yuemei Sun, Liangchen Hou, Jingbo Bai, Fanxia Kong, Xin Han and Yubin Lan
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Hanchao Liu, Yuan Qi, Wenwei Xiao, Haoxin Tian, Dehua Zhao, Ke Zhang, Junqi Xiao, Xiaoyang Lu, Yubin Lan and Yali Zhang
Identifying and extracting male and female parent of hybrid rice and then accurately judging the spikelet flowering of male parents is the basis of hybrid rice pollination. Currently, male parent flowering information extraction for hybrid rice is basica...
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Yali Zhang, Luchao Bai, Yuan Qi, Huasheng Huang, Xiaoyang Lu, Junqi Xiao, Yubin Lan, Muhua Lin and Jizhong Deng
Effective detection of rice spikelet flowering is crucial to the determination of optimal pollination timing for hybrid rice seed production. Currently, the detection of rice spikelet flowering status relies on manual observation of farmers, which has lo...
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Weixiang Yao, Yubin Lan, W. Clint Hoffmann, Jiyu Li, Shuang Guo, Huihui Zhang and Juan Wang
To investigate the spray atomization characteristics of aerial nozzles adapted to manned agricultural helicopters under medium-low airflow velocity (0 to 27.8 m/s) conditions, the droplet size test was carried out in both wind tunnel and field tests. In ...
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Zhaoxia Lou, Fang Xin, Xiaoqiang Han, Yubin Lan, Tianzhu Duan and Wei Fu
Unmanned aerial vehicles (UAVs), as emerging plant protection machinery, have the advantages of high operational efficiency, high speed, and low drift. The current study aimed to elucidate the characteristics of droplet distribution and drift, control ef...
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