2023
DOI: 10.3390/agronomy13112679
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Anti-Drift Technology Progress of Plant Protection Applied to Orchards: A Review

Shaobo Li,
Jianping Li,
Shaomeng Yu
et al.

Abstract: In orchard plant protection application, an anti-drift strategy can effectively reduce drift in the non-target area, reduce spray drift in the environment, and avoid spray leakage and overspraying. To clarify the future development direction of orchard plant protection mechanization technology, this review introduces the development status of an anti-drift spray nozzle and the impact of different types of spray nozzles on the potential of drift, and then, it analyzes the research progress on air-assisted spray… Show more

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Cited by 5 publications
(2 citation statements)
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“…The method involves applying additional forces, such as gravity, airflow and electrostatic forces. [35][36][37][38] The conventional spraying mode has limited ability to direct droplets and cannot expand the droplet transport channel, which makes it unsuitable for pest and disease control in soybean crops with a dense canopy in the mid-to-late growth period. Therefore, some researchers choose to add an electrostatically assisted approach.…”
Section: Discussionmentioning
confidence: 99%
“…The method involves applying additional forces, such as gravity, airflow and electrostatic forces. [35][36][37][38] The conventional spraying mode has limited ability to direct droplets and cannot expand the droplet transport channel, which makes it unsuitable for pest and disease control in soybean crops with a dense canopy in the mid-to-late growth period. Therefore, some researchers choose to add an electrostatically assisted approach.…”
Section: Discussionmentioning
confidence: 99%
“…A new method for testing dispersion devices used for pesticide application in crops or orchards and not only has been discovered and was highly debated by other researchers with the same thoughts and aims to make an efficiency in pesticide management. Early researches in pesticide drift monitoring were also made using image analysis technique and LIDAR sensors (Gheres, et al, 2023;Li, et al, 2023;Kashdan, et al, 2007;Gregorio, et al, 2014).…”
Section: Introductionmentioning
confidence: 99%