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农药施用中智能无人驾驶车辆技术的综合评估:以梨园为例

Comprehensive assessment of intelligent unmanned vehicle techniques in pesticide application: A case study in pear orchard.

作者信息

Jiang Yulin, He Xiongkui, Song Jianli, Liu Yajia, Wang Changling, Li Tian, Qi Peng, Yu Congwei, Chen Fu

机构信息

College of Science, China Agricultural University, Beijing, China.

College of Agricultural Unmanned System, China Agricultural University, Beijing, China.

出版信息

Front Plant Sci. 2022 Aug 23;13:959429. doi: 10.3389/fpls.2022.959429. eCollection 2022.

Abstract

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.

摘要

由于农业人口减少和劳动力成本上升,果园智能施药技术在全球范围内迅速发展。然而,智能施药技术是否优于传统施药方法以及如何优于传统施药方法仍不明确。在此,我们评估了与传统人工方法相比,无人机(UAV)和无人地面车辆(UGV)在农药施用、生态环境保护和人体健康保护方面的性能。我们从工作有效性、效率、环境污染、节水和二氧化碳减排等方面对其特性进行了量化。结果表明,尽管无人机的喷雾性能较差,但与无人地面车辆和传统人工方法相比,无人机施药具有工作效率更高、环境污染和自然资源消耗更少的优点。无人地面车辆施药技术可以以高环境污染为代价提高喷雾性能。传统喷枪技术虽然喷雾性能较好,但对环境和资源保护不友好。因此,在提高喷雾性能和控制环境污染之间取得平衡是未来提高无人机和无人地面车辆技术性能的关键。该研究对智能施药技术的发展具有参考价值,并为果园智能管理的转型提供科学支持。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cd2f/9445492/1b5fa6e28486/fpls-13-959429-g001.jpg

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