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Comprehensive assessment of intelligent unmanned vehicle techniques in pesticide application: A case study in pear orchard
by
Qi, Peng
, Song, Jianli
, Jiang, Yulin
, Yu, Congwei
, Chen, Fu
, Wang, Changling
, Li, Tian
, He, Xiongkui
, Liu, Yajia
in
Agricultural management
/ Aircraft
/ application performance
/ Carbon dioxide
/ Climate change
/ ecological assessment
/ Efficiency
/ Environmental protection
/ Fruits
/ Greenhouse gases
/ Natural resources
/ orchard
/ Orchards
/ Performance enhancement
/ Performance evaluation
/ Pesticide application
/ Pesticides
/ plant protection
/ Plant Science
/ Pollution control
/ Resource consumption
/ Robots
/ Spray guns
/ Sustainable development
/ UAV
/ UGV
/ Unmanned aerial vehicles
/ Unmanned aircraft
/ Unmanned ground vehicles
/ Unmanned vehicles
/ Vehicles
/ Water conservation
/ Water pollution
2022
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Comprehensive assessment of intelligent unmanned vehicle techniques in pesticide application: A case study in pear orchard
by
Qi, Peng
, Song, Jianli
, Jiang, Yulin
, Yu, Congwei
, Chen, Fu
, Wang, Changling
, Li, Tian
, He, Xiongkui
, Liu, Yajia
in
Agricultural management
/ Aircraft
/ application performance
/ Carbon dioxide
/ Climate change
/ ecological assessment
/ Efficiency
/ Environmental protection
/ Fruits
/ Greenhouse gases
/ Natural resources
/ orchard
/ Orchards
/ Performance enhancement
/ Performance evaluation
/ Pesticide application
/ Pesticides
/ plant protection
/ Plant Science
/ Pollution control
/ Resource consumption
/ Robots
/ Spray guns
/ Sustainable development
/ UAV
/ UGV
/ Unmanned aerial vehicles
/ Unmanned aircraft
/ Unmanned ground vehicles
/ Unmanned vehicles
/ Vehicles
/ Water conservation
/ Water pollution
2022
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Comprehensive assessment of intelligent unmanned vehicle techniques in pesticide application: A case study in pear orchard
by
Qi, Peng
, Song, Jianli
, Jiang, Yulin
, Yu, Congwei
, Chen, Fu
, Wang, Changling
, Li, Tian
, He, Xiongkui
, Liu, Yajia
in
Agricultural management
/ Aircraft
/ application performance
/ Carbon dioxide
/ Climate change
/ ecological assessment
/ Efficiency
/ Environmental protection
/ Fruits
/ Greenhouse gases
/ Natural resources
/ orchard
/ Orchards
/ Performance enhancement
/ Performance evaluation
/ Pesticide application
/ Pesticides
/ plant protection
/ Plant Science
/ Pollution control
/ Resource consumption
/ Robots
/ Spray guns
/ Sustainable development
/ UAV
/ UGV
/ Unmanned aerial vehicles
/ Unmanned aircraft
/ Unmanned ground vehicles
/ Unmanned vehicles
/ Vehicles
/ Water conservation
/ Water pollution
2022
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Comprehensive assessment of intelligent unmanned vehicle techniques in pesticide application: A case study in pear orchard
Journal Article
Comprehensive assessment of intelligent unmanned vehicle techniques in pesticide application: A case study in pear orchard
2022
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Overview
The intelligent pesticide application techniques in orchards have grown rapidly worldwide due to the decrease in agricultural populations and the increase in labor costs. However, whether and how intelligent pesticide application techniques are better than conventional pesticide application remains unclear. Here, we evaluated the performance of the unmanned aircraft vehicle (UAV) and unmanned ground vehicle (UGV) on pesticide application, ecological environment protection, and human’s health protection compared to conventional manual methods. We quantified characteristics from the aspects of working effectiveness, efficiency, environmental pollution, water saving and carbon dioxide reduction. The results showed that the UAV application has the advantages of a higher working efficiency and less environmental pollution and natural resource consumption compared to the UGV and conventional manual methods despite of its worse spray performance The UGV application techniques could improve spray performance at the cost of high environmental pollution. The conventional spray gun technique was unfriendly to environmental and resource protection although it showed a better spray performance. Thus, the balance of improving spray performance and controlling environmental pollution is the key to improve the performance of UAV and UGV technology in the future. The study could be useful in the development of intelligent pesticide application techniques and provide scientific support for the transition of intelligent management in orchards.
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