Literature DB >> 33026954

Evaluation of the Intelligent Sprayer System in Peach Production.

Harriet Boatwright1, Heping Zhu2, Adam Clark2, Guido Schnabel1.   

Abstract

Air-blast sprayers are routinely used to apply pesticides in commercial peach orchards, with growers using both conventional air-blast and ultrasonic sensor-driven models. Even with advanced spray technologies, there are still concerns with the amount of chemicals used and lost to drift. Our study evaluated a laser sensor-based variable-rate sprayer system in three experimental peach orchards for pest and brown rot disease control, spray volume output, spray coverage, and spray drift. A single 378-liter air-blast sprayer was used for both the conventional air-blast and the Intelligent Sprayer (iSprayer) treatments. Treatments were started at the phenological stage of bloom and continued through final swell. The iSprayer treatment was as effective in controlling pests and brown rot disease as the conventional air-blast treatment. Compared with the conventional air-blast treatment, the iSprayer treatment reduced the spray volume (liters/hectare) in cultivar PF23 by 71% at bloom, 62% at pit hardening, and 55% at final swell. For Juneprince, the spray volume reduction was 50% at bloom, 40% at pit hardening, and 13% at final swell. Spray drift was significantly (P < 0.05) reduced only at bloom in the iSprayer treatment. Spray coverage was increased by 50.13 and 26.67% in the iSprayer treatment at bloom and pit hardening, respectively, but not at final swell. Our results show that the iSprayer maintained pest and disease control efficacy in peach orchards while reducing spray volume and drift compared with the conventional air-blast treatment.

Entities:  

Keywords:  IPM; LIDAR sprayer; Prunus; Prunus persica; chemical; disease management; fruit; fungi; peach; sprayer technology; stone fruit; techniques; tree fruit

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Year:  2020        PMID: 33026954     DOI: 10.1094/PDIS-04-20-0696-RE

Source DB:  PubMed          Journal:  Plant Dis        ISSN: 0191-2917            Impact factor:   4.438


  2 in total

1.  Design and development of orchard autonomous navigation spray system.

Authors:  Shubo Wang; Jianli Song; Peng Qi; Changjian Yuan; Hecheng Wu; Lanting Zhang; Weihong Liu; Yajia Liu; Xiongkui He
Journal:  Front Plant Sci       Date:  2022-08-01       Impact factor: 6.627

Review 2.  Opportunities and Possibilities of Developing an Advanced Precision Spraying System for Tree Fruits.

Authors:  Md Sultan Mahmud; Azlan Zahid; Long He; Phillip Martin
Journal:  Sensors (Basel)       Date:  2021-05-08       Impact factor: 3.576

  2 in total

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