对靶施药机器人及其关键技术的研究现状与分析

doi:10.19788/j.issn.2096-6369.230208

Abstract

Abstract:

The research and application of agricultural robots is an important trend in the development of smart agriculture, and the target application robot is an important branch in the field of agricultural robots. This study summarizes the current research status and progress of domestic and international targeted spraying robots, and introduces the working principle and main technical points of targeted spraying robots. The study analyzes the current research status of key technologies for targeted spraying robots, including plant diseases and insect pests detection technology, targeted spraying technology, autonomous walking and control technology, and elaborates on the research progress and challenges of these key technologies both at home and abroad. It is pointed out that currently, most targeted spraying robots domestically and internationally can achieve the effects of saving pesticides and improving pesticide utilization rate, but their development is mostly in the laboratory stage and cannot fully meet actual production tasks. This study can provide reference and ideas for the advancement of targeted spraying robot research and the development of intelligent agriculture.

Key words: apply to the target, plant protection robot, accurate application, image recognition

SHI Hang, HU Jun, LI YuFei, LIU ChangXi, ZHANG Hui, ZHANG JianYe. Research Status and Analysis of Target Application Robot and Its Key Technologies[J].Journal of Agricultural Big Data, 2023, 5(2): 54-61.

Figures/Tables 4

References 37

[1]	F.P.Oliveira Luiz, P. Moreira António, F.Silva Manuel. Advances in Agriculture Robotics: A State-of-the-Art Review and Challenges Ahead[J]. Robotics, 2021, 10(2): 52-52. doi: 10.3390/robotics10020052
[2]	刘成良, 贡亮, 苑进, 等. 农业机器人关键技术研究现状与发展趋势[J]. 农业机械学报, 2022, 53(7): 1-22, 55.
	Liu C L, Gong L, Yuan J, et al. Current Status and Development Trends of Agricultural Robots[J]. Transactions of the Chinese Society for Agricultural Machinery, 2022, 53(7): 1-22, 55. (in Chinese)
[3]	何雄奎. 植保精准施药技术装备[J]. 农业工程技术, 2017, 37(30): 22-26.
	He X K. Plant protection precision pesticide application technology and equipment[J]. Agricultural Engineering Technology, 2017, 37(30): 22-26. (in Chinese)
[4]	何雄奎. 我国植保无人机喷雾系统与施药技术[J]. 农业工程技术, 2018, 38(9): 33-38.
	He X K. Spray system and application technology of plant protection UAV in China[J]. Agricultural Engineering Technology, 2018, 38(9): 33-38. (in Chinese)
[5]	何雄奎. 中国精准施药技术和装备研究现状及发展建议[J]. 智慧农业(中英文), 2020, 2(1): 133-146. doi: 10.12133/j.smartag.2020.2.1.201907-SA002
	He X K. Research progress and developmental recommendations on precision spraying technology and equipment in China[J]. Smart Agriculture, 2020, 2(1): 133-146. (in Chinese) doi: 10.12133/j.smartag.2020.2.1.201907-SA002
[6]	翟长远, 朱瑞祥, 张佐经, 等. 精准施药技术现状分析[J]. 农机化研究, 2010, 32(5): 9-12.
	Zhai C Y, Zhu R X, Zhang Z J, et al. Status Analysis of Precision Pesticide Application Techniques[J]. Journal of Agricultural Mechanization Research, 2010, 32(5): 9-12. (in Chinese)
[7]	傅泽田, 祁力钧, 王俊红. 精准施药技术研究进展与对策[J]. 农业机械学报, 2007, 38(1): 189-192.
	Fu Z T, Qi L J, Wang J H. Developmental Tendency and Strategies of Precision Pesticide Application Techniques[J]. Transactions of the Chinese Society for Agricultural Machinery, 2007, 38(1): 189-192. (in Chinese)
[8]	杨征鹤, 杨会民, 喻晨, 等. 设施蔬菜自动对靶喷药技术研究现状与分析[J]. 新疆农业科学, 2021, 58(8): 1547-1557. doi: 10.6048/j.issn.1001-4330.2021.08.022
	Yang Z H, Yang H M, Yu C, et al. Research Status and Analysis of Automatic Target Spraying Technology for Facility Vegetables[J]. Xinjiang Agricultural Sciences, 2021, 58(8): 1547-1557. (in Chinese) doi: 10.6048/j.issn.1001-4330.2021.08.022
[9]	Y. Tian, C. Zhao, S. Lu, et al. Multiple classifier combination for recognition of wheat leaf diseases[J]. Intelligent Automation & Soft Computing, 2011, 17(5): 519-529.
[10]	S.P. Mohanty, D.P Hughes, M. Salathé. Using deep learning for image-based plant disease detection.[J]. Frontiers in Plant Science, 2016, 7(1): 1419-1419. doi: 10.3389/fpls.2016.01419
[11]	L.G. Tian, Y. Liu, M. Li, et al. Research on plant diseases and insect pests identification based on cnn[J]. Iop Conference Series: Earth and Environmental Science, 2020, 594(1): 012009. doi: 10.1088/1755-1315/594/1/012009
[12]	D. Li, R. Wang, C. Xie, et al. A recognition method for rice plant diseases and pests video detection based on deep convolutional neural network[J]. Sensors, 2020, 20(3): 578-578. doi: 10.3390/s20030578
[13]	柴阿丽. 基于计算机视觉和光谱分析技术的蔬菜叶部病害诊断研究[D]. 北京: 中国农业科学院, 2011. (in Chinese)
	Cai A L. Study on Diagnosis of Vegetable Foliage Diseases Based on Computer Vision and Spectral Analysis[D]. Beijing: China Academy of Agricultural Sciences, 2011.
[14]	秦淑芳. 基于图像处理技术的甘蓝型油菜的虫害程度检测[D]. 武汉: 武汉轻工大学, 2019.
	Qin S F. Brassica Napus L. Pest Detection Based on Image Processing Technology[D]. Wuhan: Wuhan Polytechnic University, 2019. (in Chinese)
[15]	宋玲, 曹勉, 胡小春, 等. 基于YOLOX的复杂背景下木薯叶病害检测方法[J]. 农业机械学报, 2023, 54(3): 301-307.
	Song L, Cao M, Hu X C, et al. Detection of Cassava Leaf Diseases under Complicated Background Based on YOLOX[J]. Transactions of the Chinese Society for Agricultural Machinery, 2023, 54(3): 301-307. (in Chinese)
[16]	王卫星, 刘泽乾, 高鹏, 等. 基于改进YOLOv4的荔枝病虫害检测模型[J/OL]. 农业机械学报. https://kns.cnki.net/kcms/detail/11.1964.S.20230327.1732.004.html
	Wang W X, Liu Z Q, Gao P, et al. Detection of Litchi Diseases and Insect Pests Based on Improved YOLOv4 Model[J/OL]. Transactions of the Chinese Society for Agricultural Machinery. https://kns.cnki.net/kcms/detail/11.1964.S.20230327.1732.004.html. (in Chinese)
[17]	林芬芳, 陈星宇, 周维勋, 等. 基于堆栈稀疏自编码器的小麦赤霉病高光谱遥感检测[J/OL]. 作物学报. https://kns.cnki.net/kcms/detail//11.1809.S.20230228.0956.002.html
	Lin F F, Chen X Y, Zhou W X, et al. Hyperspectral remote sensing detection of Fusarium Head Blight in wheat based on the stacked sparse auto-encoder algorithm[J/OL]. Acta Agronomica Sinica. https://kns.cnki.net/kcms/detail//11.1809.S.20230228.0956.002.html. (in Chinese)
[18]	彭红星, 何慧君, 高宗梅, 等. 基于改进ShuffleNetV2模型的荔枝病虫害识别方法[J]. 农业机械学报, 2022, 53(12): 290-300.
	Peng H X, He H J, Gao Z M, et al. Litchi Diseases and Insect Pests Identification Method Based on Improved ShuffleNetV2[J]. Transactions of the Chinese Society for Agricultural Machinery, 2022, 53(12): 290-300. (in Chinese)
[19]	D. Stajnko, P. Berk, M. Lesnik, et al. Programmable ultrasonic sensing system for targeted spraying in orchards[J]. Sensors, 2012, 12(11): 15500-15519. doi: 10.3390/s121115500 pmid: 23202220
[20]	M. Garrido, M. Perez-Ruiz, C. Valero, et al. Active optical sensors for tree stem detection and classification in nurseries[J]. Sensors, 2014, 14(6): 10783-10803. doi: 10.3390/s140610783 pmid: 24949638
[21]	J. Llorens, E. Gil, J. Llop, et al. Ultrasonic and lidar sensors for electronic canopy characterization in vineyards: advances to improve pesticide application methods[J]. Sensors, 2011, 11(2): 2177-2194. doi: 10.3390/s110202177 pmid: 22319405
[22]	赵源深. 西红柿采摘机器人目标识别、定位与控制技术研究[D]. 上海: 上海交通大学, 2018.
	Zhao S Y. Research on the Technologies of Target Recognition, Localization and Control for Tomato Harvesting Robot[D]. Shanghai: Shanghai Jiao Tong University, 2018. (in Chinese)
[23]	陆江. 基于PLC的红外对靶自动喷雾装置的研制及试验[D]. 南京: 南京农业大学, 2013.
	Lu J. The Development of Automatic Target-activated Spraying Device Based on PLC[D]. Nanjing: Nanjing Agricultural University, 2013. (in Chinese)
[24]	Zaidner G, Shapiro A. A novel data fusion algorithm for low-cost localisation and navigation of autonomous vineyard sprayer robots[J]. Biosystems Engineering, 2016, 146(1): 113-148.
[25]	Belter D, Labecki P, Skrzypczyński P. Adaptive motion planning for autonomous rough terrain traversal with a walking robot[J]. Journal of Field Robotics, 2016, 33(3): 337-370. doi: 10.1002/rob.2016.33.issue-3
[26]	Bonev B, Cazorla M, Martín F, et al. Portable autonomous walk calibration for 4-legged robots[J]. Applied Intelligence, 2012, 36(1): 136-147. doi: 10.1007/s10489-010-0249-9
[27]	Ion I, Gavan M, Curaj A, et al. Adaptation to rough terrains by using force sensing on the MERO modular walking robots[J]. Applied Mechanics and Materials, 2015, 3879(762): 147-154.
[28]	牛雪梅, 高国琴, 鲍智达, 等. 基于滑模变结构控制的温室喷药移动机器人路径跟踪[J]. 农业工程学报, 2013, 29(2): 9-16.
	Niu X M, Gao G Q, Bao Z D, et al. Path tracking of mobile robots for greenhouse spraying controlled by sliding mode variable structure[J]. Transactions of the Chinese Society of Agricultural Engineering, 2013, 29(2): 9-16. (in Chinese)
[29]	张宾, 陈志清, 宋健. 自走式喷雾机自动控制系统的研制[J]. 农机化研究, 2004, 44(6): 115-118.
	Zhang B, Chen Z Q, Song J. Development of sprayer control system[J]. Journal of Agricultural Mechanization Research, 2004, 44(6): 115-118. (in Chinese)
[30]	Wang F J. Control System Design of Spraying Robot[C]. 2010 International Conference on Computer and Communication Technologies in Agriculture Engineering (CCTAE 2010):Institute of Electrical and Electronics Engineers, Inc., 2010: 23-26.
[31]	T. Utstumo, F. Urdal, A. Brevik, et al. Robotic in-row weed control in vegetables[J]. Computers and Electronics in Agriculture, 2018, 154(8): 36-45. doi: 10.1016/j.compag.2018.08.043
[32]	F.C. Páez, V.J. Rincón, J.S. Hermosilla, et al. Implementation of a low-cost crop detection prototype for selective spraying in greenhouses[J]. Precision Agriculture, 2017, 18(6): 1011-1023. doi: 10.1007/s11119-017-9522-9
[33]	何雄奎, 严苛荣, 储金宇, 等. 果园自动对靶静电喷雾机设计与试验研究[J]. 农业工程学报, 2003, 19(6): 78-80.
	He X K, Yan K R, Chu J Y, et al. Design and testing of the automatic target detecting, electrostatic, air assisted, orchard sprayer[J]. Transactions of The Chinese Society of Agricultural Engineering, 2003, 19(6): 78-80. (in Chinese)
[34]	姜红花, 白鹏, 刘理民, 等. 履带自走式果园自动对靶风送喷雾机研究[J]. 农业机械学报, 2016, 47(S1): 189-195.
	Jiang H H, Bai P, Liu L M, et al. Caterpillar Self-propelled and Air-assisted Orchard Sprayer with Automatic Target Spray System[J]. Transactions of the Chinese Society for Agricultural Machinery, 2016, 47(S1): 189-195. (in Chinese)
[35]	权龙哲, 王建森, 奚德君, 等. 靶向灭草机器人药液喷洒空气动力学模型建立与验证[J]. 农业工程学报, 2017, 33(15): 72-80.
	Quan L Z, Wang J S, Xi D J, et al. Aerodynamics modeling and validation on liquid medicine spraying of target weeding robot[J]. Transactions of the Chinese Society of Agricultural Engineering, 2017, 33(15): 72-80. (in Chinese)
[36]	许林云, 张昊天, 张海锋, 等. 果园喷雾机自动对靶喷雾控制系统研制与试验[J]. 农业工程学报, 2014, 30(22): 1-9.
	Xu L Y, Zhang H T, Zhang H F, et al. Development and experiment of automatic target spray control system used in orchard sprayer[J]. Transactions of the Chinese Society of Agricultural Engineering, 2014, 30(22): 1-9. (in Chinese)
[37]	颜杰. 温室遥控对靶喷雾机控制系统设计与试验研究[D]. 镇江: 江苏大学, 2017.
	Yan J. Design and Experimental Study of Control System for Target Sprayer in Greenhouse[D]. Zhenjiang: Jiangsu University, 2017. (in Chinese)

Research Status and Analysis of Target Application Robot and Its Key Technologies

RichHTML

PDF (PC)

Like

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 4

References 37

Related Articles 0

Metrics

Comments

Recommended 0