Simple decision-making model for orchard air-assisted spraying airflow

Xiang Wang, Yuru Feng, Wei Fu, Jiangtao Qi, Jianli Song

Abstract


Airflow speed is one of the three factors of air-assisted spraying. Optimizing the matching model between airflow speed and target canopy characteristics is an effective way to improve the orchard precision spraying technology, as airflow can significantly affect droplet deposition and drift loss. A simple model of airflow speed was established in this study. First, air-assisted spraying experiments were carried out on a standard simulation canopy to study the airflow speed depended on canopy width, leaf area index, and porosity rate. Second, determined by Ribbon Method and verified by droplet drift data, the airflow speed through the canopy was between 0.5 m/s and 0.7 m/s. Third, multiple tests were carried out under standard simulation canopy with different characteristics, and the airflow speed model was established ultimately: with a fixed leaf area index (LAI), the relationship between canopy upwind boundary airflow speed and canopy width satisfied the exponential model (y=aebx), and the coefficients a and b are well related to the density of branches and leaves in the canopy. When LAI=3.456, y=2.036e1.5887x, R2=0.994; LAI=1.728, y=1.639e1.445x, R2=0.972. Orchard growers can acquire needed airflow speed through this simple model, it is quick and precise and appropriate to most growth periods of a variety of fruit trees, such as apples, pears, and vines.
Keywords: airflow speed, canopy width, porosity rate, LAI, air-assisted spraying
DOI: 10.25165/j.ijabe.20231602.6849

Citation: Wang X, Feng Y R, Fu W, Qi J T, Song J L. Simple decision-making model for orchard air-assisted spraying airflow. Int J Agric & Biol Eng, 2023; 16(2): 23-29.

Keywords


airflow speed, canopy width, porosity rate, LAI, air-assisted spraying

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References


He X K. Research progress and developmental recommendations on precision spraying technology and equipment in China. Smart Agriculture, 2020; 2(1): 133-146. (in Chinese)

Ding T H, Cao S M, Xue X Y, Ding S M. Current situation and development trend of air-assisted orchard sprayer. Journal of Chinese Agricultural Mchanization, 2016; 37(10): 221–226. (in Chinese)

Michael C, Gil E, Gallart M, Kanetis L, Stavrinides M C. Evaluating the effectiveness of low volume spray application using air-assisted knapsack sprayers in wine vineyards. International Journal of Pest Management, 2020; 68(2): 148-157.

An Q S, Li D, Wu Y L, Pan C P. Deposition and distribution of myclobutanil and tebuconazole in a semidwarf apple orchard by hand-held gun and air-assisted sprayer application. Pest Management Science, 2020; 76(12): 4123–4130.

Zhou L F, Xue X Y, Zhou L X, Zhang L, Ding S M, Chang C, et al. Research situation and progress analysis on orchard variable rate spraying technology. Transactions of the CSAE, 2017; 33(23): 80–92. (in Chinese)

He X K, Zeng A J, He J. Effect of wind velocity from orchard sprayer on droplet deposit and distribution. Transactions of CSAE, 2002; 18(4): 75-77. (in Chinese)

Pergher G, Gubiani R. The effect of spray application rate and airflow rate on foliar deposition in a hedgerow vineyard. Journal of Agricultural Engineering Research, 1995; 61(3): 205–216.

Corss J V, Walklate P J, Murray R A, Richardson G M. Spray deposits and losses in different sized apple trees from an axial fan orchard sprayer: 3. Effects of air volumetric flow rate. Crop Protection, 2003; 22(2): 381–394.

Pascuzzi S, Cerruto E, Manetto G. Foliar spray deposition in a “tendone” vineyard as affected by airflow rate, volume rate and vegetative development. Crop Protection, 2017; 91: 34–48.

Landers A J. Developments towards an automatic precision sprayer for fruit crop canopies. In: 2010 ASABE Annual International Meeting, Pittsburgh: ASABE, 2010: 1008973. doi: 10.13031/2013.29778.

Landers A J. Technologies for the precise application of pesticides into orchards and vineyards. In: 2008 ASABE Annual International Meeting, Providence: ASABE, 2008: 083727. doi: 10.13031/2013.24614.

Zhou L F, Fu X M, Ding W M, Ding S M, Chen J, Chen Z J. Design and experiment of combined disc air-assisted orchard sprayer. Transactions of the CSAE, 2015; 31(10):64–71. (in Chinese)

Pai N, Salyani M, Sweeb R D. Regulating airflow of orchard air-blast sprayer based on tree foliage density. Transactions of the ASABE, 2009; 52(5):1423–1428.

Liu H, Zhu H P, Shen Y, Chen Y, Ozkan H E. Evaluation of a laser scanning sensor for variable-rate tree sprayer development. In: 2013 ASABE Annual International Meeting, Kansas: ASABE, 2013; 2: 131594563.. doi: 10.13031/aim.20131594563.

Gil E, Llorens J, Llop J, Fàbregas X, Escolà A, Rosell-polo J R. Variable rate sprayer. Part 2 - Vineyard prototype: Design, implementation, and validation. Computers and Electronics in Agriculture, 2013; 95: 136–150. doi: 10.1016/j.compag.2013.02.010.

Dai F F. Selection and calculation of the blowing rate of air-assisted sprayers.Plant Protection, 2008; 34(6): 124-127. (in Chinese)

Niu C Q, Zhang W J, Wang Q, Zhao X X, Fan G J, Jiang H H. Current status and trends of research on adjusting air volume of orchard air spray. Journal of Chinese Agricultural Mechanization, 2020; 41(12): 48–54. (in Chinese)

Li L L, He X K, Song L J, Wang X N, Jia X M, Liu C H. Design and experiment of automatic profiling orchard sprayer based on variable air volume and flow rate. Transactions of the CSAE, 2017; 33(1): 70–76. (in Chinese)

Landers A J, Gil E. Development and validation of a new deflector system to improve pesticide application in New York and Pennsylvania grape production areas. In: 2006 ASAE Annual Meeting, ASABE, 2006: 061001. doi: 10.13031/2013.20569.

Bréda N J J. Ground-based measurements of leaf area index: A review of methods, instruments and current controversies. Journal of Experimental Botany, 2003; 54(392): 2403–2417.

Deveau J. Optimizing Sprayer Air Settings - Part1. Sprayers101 n.d. Available at: https://sprayers101.com/adjust-airblast-1/. Accessed on [2021-05-10].

Deveau J. Optimizing Sprayer Air Settings - Part2. Sprayers101 n.d. Available at: https://sprayers101.com/adjust-airblast-2/. Accessed on [2021-05-10].

Doruchowski G, Swiechowski W, Holownicki R, Godyn A. Environmentally-dependent application system (EDAS) for safer spray application in fruit growing. The Journal of Horticultural Science and Biotechnology, 2009; 84(6): 107–112.

Monsi M, Saeki T. On the factor light in plant communities and its importance for matter production. Annals of Botany, 2005; 95(3): 549–567.

Monteith J L. Light distribution and photosynthesis in field crops. Annals of Botany, 1965; 29: 17–37.

Landers A J, Vadharia F F. Factors influencing air and pesticide penetration into grapevine canopies. Aspects of Applied Biology, 2004; 71(2): 343–348.

Palleja T, Landers A J. Real time canopy density estimation using ultrasonic envelope signals in the orchard and vineyard. Computers and Electronics in Agriculture, 2015; 115: 108–117.

Van de Zande J C, Michielsen J M G P, Stallinga H, Porskamp H A J, Holterman H J, Huijsmans J F M. Environment risk control. Aspects of Applied Biology, 2002; 66: 165–176.

Sanz-Cortiella R, Llorens-Calveras J, Escolà A, Arnó-Satorra J, Ribes-Dasi M, Masip-Vilalta J, et al. Innovative LIDAR 3D dynamic measurement system to estimate fruit-tree leaf area. Sensors, 2011; 11(6): 5769–5791.

Zhang L, Grift T E. A LIDAR-based crop height measurement system for Miscanthus giganteus. Computers and Electronics in Agriculture, 2012; 85: 70–76.

Sinha R, Ranjan R, Khot L R, Hoheisel G A, Grieshop M J. Comparison of within canopy deposition for a solid set canopy delivery system (SSCDS) and an axial–fan airblast sprayer in a vineyard. Crop Protection, 2020;132:105124. doi: 10.1016/j.cropro.2020.105124.

Planas S, Román C, Sanz R, Rosell-Polo J R. Bases for pesticide dose expression and adjustment in 3D crops and comparison of decision support systems. Science of The Total Environment, 2022; 806(Part1): 150357. doi: 10.1016/j.scitotenv.2021.150357.

Román C, Peris M, Esteve J, Tejerina M, Cambray J, Vilardell P, et al. Pesticide dose adjustment in fruit and grapevine orchards by DOSA3D: Fundamentals of the system and on-farm validation. Science of The Total Environment, 2022; 808: 152158. doi: 10.1016/j.scitotenv.2021.152158.




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