| Citation: |
XIAO Deqin, HUANG Yigui, XIONG Yuesong, et al. Research progress on robotic technology in the field of livestock and poultry farming[J]. Journal of South China Agricultural University, 2024, 45(5): 624-634. DOI: 10.7671/j.issn.1001-411X.202404055
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XIAO Deqin: 肖德琴，博士，教授，博士生导师。现任农业农村部华南热带智慧农业技术重点实验室主任，国家水禽产业技术体系智能化岗位科学家，CCF数字农业分会常务委员，中国物联网专委会委员，广东省农业人工智能专委会副主任委员，“科创中国”数字农业农村产业服务团团长，广东省农业大数据工程技术研究中心主任，广东省现代农业大数据产业技术研发中心主任，华南农业大学计算机系统结构学科带头人。长期从事计算机网络和人工智能方面的教学、科研和实践工作，研究方向为农业先进传感器与智能信息处理，致力于动植物生产监测与管控、农业物联网与产业大数据等科学研究与应用推广工作。主持国家星火计划重点项目、国家重点研发专项子课题、广东省重点研发专项等科研课题50余项，获得软件著作权登记30余项，拥有国家专利10余项，发表论文100余篇，其中，SCI、EI收录50余篇，主编著作5部，参编著作3部，获科技奖项5项。研发了多种农业智能传感器、传输设备、智能装备和计算智能模型
As the modern livestock and poultry farming industry faces increasing challenges, including improving production efficiency, reducing costs, ensuring animal welfare, and responding to environmental changes, the application of robotic technology has become the key to driving the transformation of this industry. This article reviewed the research progress of robotic technology in the field of livestock and poultry farming, including the current status and technical characteristics of research on feeding robots, cleaning robots, inspection robots, milking robots, and other related areas. The robotic technology played an important role in enhancing the automation and intelligence level of the livestock and poultry farming industry. Among them, the feeding robots improved the feeding efficiency and the health level of farmed animals through precise control of feed delivery, the cleaning robots could effectively manage the farming environment and enhance the hygiene conditions of farms, the inspection robots optimized farming management through real-time monitoring of the environment and animal health condition, the milking robots achieved automation in dairy farming and improved the production efficiency. The challenge and opportunity of robotic technology in livestock and poultry farming were discussed, and the future development trend and prospect were proposed.
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| [2] | CEN Zhenzhao, YUE Xuejun, WANG Linhui, LING Kangjie, CHENG Ziyao, LU Yang. Design and test of self-adaptive variable spray system of UAV based on neural network PID[J]. Journal of South China Agricultural University, 2019, 40(4): 100-108. DOI: 10.7671/j.issn.1001-411X.201811017 |
| [3] | CHEN Shengde, LAN Yubin, ZHOU Zhiyan, LIAO Juan, ZHU Qiuyang. Effects of spraying parameters of small plant protection UAV on droplets deposition distribution in citrus canopy[J]. Journal of South China Agricultural University, 2017, 38(5): 97-102. DOI: 10.7671/j.issn.1001-411X.2017.05.017 |
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| [6] | YUE Xue-jun,CHEN Shan,LU Yong-chao,LI Zhen,WANG Wan-zhang. Experiment of Shield Effects on Spray Breadth[J]. Journal of South China Agricultural University, 2008, 29(3). DOI: 10.7671/j.issn.1001-411X.2008.03.022 |
| [7] | C. SINFORT,B. TISSEYRE,SONG Shu-ran,HONG Tian-sheng,WANG Wei-xing,ZHAO Xin,C. SINFORT,B. TISSEYRE. The Deposit Distribution of Spraying Droplet Based on DGPS in Rice Fields[J]. Journal of South China Agricultural University, 2006, 27(3): 97-99. DOI: 10.7671/j.issn.1001-411X.2006.03.027 |
| [8] | LI Jian-guo,HUANG Xu-ming,HUANG Hui-bai. NAA sprays increased litchi fruit size and its roles[J]. Journal of South China Agricultural University, 2004, 25(2): 10-12. DOI: 10.7671/j.issn.1001-411X.2004.02.003 |
| [9] | Cen Yijing, Tian Mingyi. Advances in the Use of Petroleum Spray Oils in Control of Pests in Citrus[J]. Journal of South China Agricultural University, 1999, (2): 118-122. |
| [10] | Zeng Xinnian, zhao Shanhuan. INVSTIGATIONS ON TIMING SPRAY INSECTECICIDE AGAINST CITRUS LEAFMINER(Phyllocnistis citrella Stainton)[J]. Journal of South China Agricultural University, 1995, (1): 44-49. |
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