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Pandiselvam R, Daliyamol, Imran S S, Hegde V, Sujithra M, Prathibha P, Prathibha V, Hebbar K. Evaluation of unmanned aerial vehicle for effective spraying application in coconut plantations. Heliyon 2024; 10:e38569. [PMID: 39397987 PMCID: PMC11470614 DOI: 10.1016/j.heliyon.2024.e38569] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2023] [Revised: 09/25/2024] [Accepted: 09/26/2024] [Indexed: 10/15/2024] Open
Abstract
Unmanned aerial vehicle (UAV) pesticide application in recent years owing to its importance such as time saving, reduction in human drudgery and also reduction in pesticides application rate. UAV has a great potential to address the problem involved in manual chemicals spraying in tall crops like coconut plantation where at present operation performed by manual climbing involves lots of drudgery and life risk. The current study aimed to understand the most influencing spraying parameters, such as spray height and spray time of the UAV sprayer on droplet characteristics such as spray droplet size, spray coverage and spray deposition at different layers (spindle, middle and bottom) of coconut tree canopy. The selected spray height (1, 2 and 3 m) and spray time (5, 8 and 11 s) significantly affects (p < 0.05) the droplet size (μm), spray coverage (%) and spray deposition (μl cm-2). In spray droplet size, the treatment T4, T5, T7 and T8 were recorded recommended droplet size of 50-400 μm in all layer of the coconut tree canopy. In spray coverage, the nearest value for recommended spray coverage of 10-20 % was observed for T1 and T5 treatment in all layer of the coconut tree canopy. The maximum penetration efficiency of 34.41 % had achieved at spray height of 2m and spray time of 8s (treatment T5). Based on performance of selected parameter, the spray height of 2 m and spray time of 8 s (treatment T5) was found best for spraying operation using UAV in coconut tree. The results showed the performance of the UAV offers best alternative for spraying operation on coconut tree and also this system will drastically reduce application time, labour requirement and improved the safety of coconut farmers.
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Affiliation(s)
- R. Pandiselvam
- Physiology, Biochemistry and Post-Harvest Technology Division, ICAR –Central Plantation Crops Research Institute, Kasaragod, 671 124, Kerala, India
| | - Daliyamol
- Crop Protection Division, ICAR –Central Plantation Crops Research Institute, Kasaragod, 671 124, Kerala, India
| | - Syed Imran S
- ICAR – Central Institute of Agricultural Engineering, Regional Station, Coimbatore, 641 008, Tamil Nadu, India
| | - Vinayaka Hegde
- Crop Protection Division, ICAR –Central Plantation Crops Research Institute, Kasaragod, 671 124, Kerala, India
| | - M. Sujithra
- Crop Protection Division, ICAR –Central Plantation Crops Research Institute, Kasaragod, 671 124, Kerala, India
| | - P.S. Prathibha
- Crop Protection Division, ICAR –Central Plantation Crops Research Institute, Kasaragod, 671 124, Kerala, India
| | - V.H. Prathibha
- Crop Protection Division, ICAR –Central Plantation Crops Research Institute, Kasaragod, 671 124, Kerala, India
| | - K.B. Hebbar
- Physiology, Biochemistry and Post-Harvest Technology Division, ICAR –Central Plantation Crops Research Institute, Kasaragod, 671 124, Kerala, India
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Zeeshan M, Li H, Yousaf G, Ren H, Liu Y, Arshad M, Dou Z, Han X. Effect of formulations and adjuvants on the properties of acetamiprid solution and droplet deposition characteristics sprayed by UAV. FRONTIERS IN PLANT SCIENCE 2024; 15:1441193. [PMID: 39157513 PMCID: PMC11327081 DOI: 10.3389/fpls.2024.1441193] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/31/2024] [Accepted: 07/15/2024] [Indexed: 08/20/2024]
Abstract
While the pesticide formulations are widely used for pest control, the combined effects of these formulations with adjuvants on droplet behavior, spraying characteristics, and pest control still need to be studied. To clarify their impact on droplet behavior, spraying characteristics, and control efficacy, six formulations of acetamiprid and six adjuvants were examined. A series of laboratory and field experiments were conducted to analyze the physicochemical properties, toxicity against cotton aphids, droplet deposition characteristics, and droplet drift. The results indicated that 5% acetamiprid micro-emulsion (ME) enhanced the physicochemical features and effectiveness in pest control compared to other formulations. The nongjianfei considerably enhanced the efficiency of all acetamiprid formulations when added. The addition of selected adjuvants to pesticide formulations improved the performance of certain physicochemical properties such as viscosity and surface tension and led to higher aphid mortality rates, demonstrating enhanced pest control effectiveness during the present study. In the field experiments, the combination effect of acetamiprid formulations and adjuvants exhibited a higher droplet size, coverage, and density within the cotton canopy. However, 5% acetamiprid ME was found to be most effective followed by nongjianfei. Furthermore, 5% acetamiprid ME with adjuvant reduced the droplet drift and provided better deposition when compared with other formulations. Overall, the combination of specific formulations and adjuvants led to improved physicochemical properties, enhanced droplet deposition characteristics, reduced spray drift, and increased pesticide deposition. These findings highlighted the significance of selecting appropriate pesticide formulations and adjuvants and provided a solid foundation for efficient pesticide spraying through UAVs.
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Affiliation(s)
- Muhammad Zeeshan
- Key Laboratory of Oasis Agricultural Pest Management and Plant Protection Resources Utilization, College of Agriculture, Shihezi University, Shihezi, China
| | - Haoran Li
- Key Laboratory of Oasis Agricultural Pest Management and Plant Protection Resources Utilization, College of Agriculture, Shihezi University, Shihezi, China
| | - Gulfam Yousaf
- Key Laboratory of Oasis Agricultural Pest Management and Plant Protection Resources Utilization, College of Agriculture, Shihezi University, Shihezi, China
| | - Hao Ren
- Key Laboratory of Oasis Agricultural Pest Management and Plant Protection Resources Utilization, College of Agriculture, Shihezi University, Shihezi, China
| | - Yapeng Liu
- Key Laboratory of Oasis Agricultural Pest Management and Plant Protection Resources Utilization, College of Agriculture, Shihezi University, Shihezi, China
| | - Muhammad Arshad
- Department of Entomology, University of Sargodha, Sargodha, Pakistan
| | - Zechen Dou
- Key Laboratory of Oasis Agricultural Pest Management and Plant Protection Resources Utilization, College of Agriculture, Shihezi University, Shihezi, China
| | - Xiaoqiang Han
- Key Laboratory of Oasis Agricultural Pest Management and Plant Protection Resources Utilization, College of Agriculture, Shihezi University, Shihezi, China
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Liu Y, Yao W, Guo S, Yan H, Yu Z, Meng S, Chen D, Chen C. Determination of the effective swath of a plant protection UAV adapted to mist nozzles in mountain Nangguo pear orchards. FRONTIERS IN PLANT SCIENCE 2024; 15:1336580. [PMID: 38974984 PMCID: PMC11224546 DOI: 10.3389/fpls.2024.1336580] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/11/2023] [Accepted: 06/04/2024] [Indexed: 07/09/2024]
Abstract
Plant protection unmanned aerial vehicles (UAVs) have become popular in mountain orchards, but due to the differences in planting structures, the chances of heavy spraying, missed spraying and pesticide drift are increasing. To mitigate the adverse effects of these phenomena, it is necessary to clarify the effective deposition range of aerial spray droplets. This study proposed an effective spray swath determination method for the effective spraying range of mountainous orchards with UAVs equipped with a mist nozzle (bilateral 1% coverage). This approach focused on exploring the effects of flight height (unidirectional flight modes of 2, 3 and 4 m), spray nozzle atomization performance (reciprocating flight modes of 20, 30 and 40 µm) and flight route (treetop flying and inter-row flying) on the spraying range in a mountain setting. In addition, the study analysed the relationship between the droplet-size spectrum and the effective swath position. The results showed that it is feasible to use the bilateral 1% coverage evaluation method to determine the effective spray swath of a UAV adapted with a mist nozzle for aerial operation in a mountainous Nangguo Pear orchard. With the increase in UAV flight height (2-4 m), the effective unidirectional spray swath also increased, and with the increase in atomization level (20-40 μm), the effective reciprocating spray swath showed a decreasing trend. Moreover, the average effective swath width measured by the UAV for treetop flight was greater than that measured for inter-row flight. The study also found that the proportion of small droplets (droplet size less than 100 µm) below the UAV route was lower (approximately 50%) than along the sides of the route (approximately 80%), and the spray swath was not symmetrically distributed along the flight route but shifted laterally by approximately 3 to 4 m in the downhill direction.
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Affiliation(s)
- Yihan Liu
- College of Information and Electrical Engineering, Shenyang Agricultural University, Shenyang, China
| | - Weixiang Yao
- College of Information and Electrical Engineering, Shenyang Agricultural University, Shenyang, China
| | - Shuang Guo
- College of Information and Electrical Engineering, Shenyang Agricultural University, Shenyang, China
| | - Hao Yan
- College of Information and Electrical Engineering, Shenyang Agricultural University, Shenyang, China
| | - Ziqi Yu
- College of Information and Electrical Engineering, Shenyang Agricultural University, Shenyang, China
| | - Sikai Meng
- College of Information and Electrical Engineering, Shenyang Agricultural University, Shenyang, China
| | - Dennis Chen
- Eavision Technologies Co., Ltd, Jiangsu, China
| | - Chunling Chen
- College of Information and Electrical Engineering, Shenyang Agricultural University, Shenyang, China
- Liaoning Engineering Research Center for Information Technology in Agriculture, Shenyang, Liaoning, China
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Sánchez-Fernández L, Barrera-Báez M, Martínez-Guanter J, Pérez-Ruiz M. Reducing environmental exposure to PPPs in super-high density olive orchards using UAV sprayers. FRONTIERS IN PLANT SCIENCE 2024; 14:1272372. [PMID: 38239222 PMCID: PMC10794436 DOI: 10.3389/fpls.2023.1272372] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Accepted: 11/28/2023] [Indexed: 01/22/2024]
Abstract
The increasing demand for optimizing the use of agricultural resources will require the adoption of cutting-edge technologies and precision farming management. Unmanned Aerial Vehicle (UAV) sprayers seem promising due to their potential to perform precision or spot spraying, particularly in woody crop environments where total surface spraying is unnecessary. However, incorporating this technology is limited by the lack of scientific knowledge about the environmental risks associated with UAV sprayers and the strict legal framework. Nonetheless, these spraying systems' characteristic downwash airflow and the limited swath width can potentially mitigate drift in hedgerow crops. During our study we performed comparative studies aimed to compare the airborne drift, soil, and crop depositions between a conventional orchard sprayer and a UAV sprayer in a commercial superhigh-density orchard in the South Iberian Peninsula in 2022. Our findings reveal that, in superhigh-density olive orchards, the UAV sprayer presents a substantial reduction in airborne drift, while soil depositions showed no significant differences compared to those of a conventional terrestrial orchard sprayer. Crop depositions were significantly lower when utilizing the UAV sprayer. These results suggest that introducing UAV spraying technology in Mediterranean agricultural systems, under specific scenarios, can effectively reduce the environmental impact of crop spraying and encourage the responsible use of plant protection products (PPPs).
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Affiliation(s)
- Luis Sánchez-Fernández
- Departamento de Ingeniería Aeroespacial y Mecánica de Fluidos, Área de Ingeniería Agroforestal, Universidad de Sevilla, Seville, Spain
| | - María Barrera-Báez
- Departamento de Ingeniería Aeroespacial y Mecánica de Fluidos, Área de Ingeniería Agroforestal, Universidad de Sevilla, Seville, Spain
| | | | - Manuel Pérez-Ruiz
- Departamento de Ingeniería Aeroespacial y Mecánica de Fluidos, Área de Ingeniería Agroforestal, Universidad de Sevilla, Seville, Spain
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Li M, Wang Z, Meng H, Wang D, Deng X, Zhou H. Formulation and Characterization of Matrine Oil Dispersion to Improve Droplet Wetting and Deposition. Molecules 2023; 28:6896. [PMID: 37836739 PMCID: PMC10574598 DOI: 10.3390/molecules28196896] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Revised: 08/27/2023] [Accepted: 09/29/2023] [Indexed: 10/15/2023] Open
Abstract
The unreasonable use of chemical pesticides has caused serious damage to crops and the ecological environment. The botanical pesticide matrine has attracted attention as an environmentally friendly pesticide. Compared with traditional spraying methods, unmanned aerial vehicle (UAV) spraying has the advantages of safety, rapidity, uniform droplets, low dosages, and no terrain or crop restrictions. In this study, matrine OD was prepared according to the application requirements of flight prevention preparations using three different emulsifiers. The stability, wettability, particle size and distribution, and spraying performance of matrine OD were studied. The results indicated that when the amount of emulsifier was 8%, the three types of matrine OD had good stability. The stability, wettability, particle size and distribution, and spray performance of the suspension prepared using emulsifier VO/03 were better than the other two emulsifiers. Therefore, matrine OD prepared using 8% VO/03 could be used for ultra-low-volume sprays and aerial applications. In this study, we provide a theoretical basis and technical guidance to develop pesticide formulations for aerial applications.
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Affiliation(s)
- Meng Li
- Key Laboratory of Biological Pesticide Creation and Resource Utilization Autonomous Region Colleges and Universities, College of Horticulture and Plant Protection, Inner Mongolia Agricultural University, Hohhot 010020, China; (M.L.); (Z.W.); (H.M.); (D.W.)
| | - Zhen Wang
- Key Laboratory of Biological Pesticide Creation and Resource Utilization Autonomous Region Colleges and Universities, College of Horticulture and Plant Protection, Inner Mongolia Agricultural University, Hohhot 010020, China; (M.L.); (Z.W.); (H.M.); (D.W.)
| | - Huanwen Meng
- Key Laboratory of Biological Pesticide Creation and Resource Utilization Autonomous Region Colleges and Universities, College of Horticulture and Plant Protection, Inner Mongolia Agricultural University, Hohhot 010020, China; (M.L.); (Z.W.); (H.M.); (D.W.)
| | - Dong Wang
- Key Laboratory of Biological Pesticide Creation and Resource Utilization Autonomous Region Colleges and Universities, College of Horticulture and Plant Protection, Inner Mongolia Agricultural University, Hohhot 010020, China; (M.L.); (Z.W.); (H.M.); (D.W.)
| | - Xile Deng
- State Key Laboratory of Hybird Rice, Key Laboratory for Biology and Control of Weeds, Hunan Agricultural Biotechnology Research Institute, Hunan Academy of Agricultural Sciences, Changsha 410125, China
| | - Hongyou Zhou
- Key Laboratory of Biological Pesticide Creation and Resource Utilization Autonomous Region Colleges and Universities, College of Horticulture and Plant Protection, Inner Mongolia Agricultural University, Hohhot 010020, China; (M.L.); (Z.W.); (H.M.); (D.W.)
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Hanif AS, Han X, Yu SH, Han C, Baek SW, Lee CG, Lee DH, Kang YH. Modeling of the control logic of a UASS based on coefficient of variation spraying distribution analysis in an indoor flight simulator. FRONTIERS IN PLANT SCIENCE 2023; 14:1235548. [PMID: 37670862 PMCID: PMC10475723 DOI: 10.3389/fpls.2023.1235548] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/06/2023] [Accepted: 08/02/2023] [Indexed: 09/07/2023]
Abstract
Introduction In the past decade, unmanned aerial spraying systems (UASS) have emerged as an effective crop treatment platform option, competing with other ground vehicle treatments. The development of this platform has provided an effective spraying system that can be used on all crop types and in all weather conditions. However, related research has not been able to develop a UASS that can be operated in windy conditions with a low drift percentage. Methods In this research, spraying was simulated in an indoor flight simulator by considering flight speed, altitude, wind speed, wind direction, rotor rotation, interval, spraying pattern, and nozzle type, which were used as the parameters affecting the output value of the coefficient of variation (CV) of spraying. These parameters were referenced as properties that occur in the field, and using machine learning methods, the CV value was used as a dataset to develop a model that can execute pump opening by controlling the flow rate. There are four machine learning methods used, i.e. random forest regression, gradient boosting, ada boost, and automatic relevance determination regression which are compared with simple linear regression and ridge regression as linear regression. Results The results revealed that the random forest regression model was the most accurate, with R2 of 0.96 and root mean square error (RMSE) of 0.04%. The developed model was used to simulate spraying with pump opening A, which connects two nozzles in front, and pump opening AB, which connects all four nozzles. Discussion Using the logic based on CV value and pesticide quantity, the model can execute the pump opening against the environment and UASS operation.
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Affiliation(s)
- Adhitya Saiful Hanif
- College of Agricultural and Life Sciences, Interdisciplinary Program in Smart Agriculture, Kangwon National University, Chuncheon, Republic of Korea
| | - Xiongzhe Han
- College of Agricultural and Life Sciences, Interdisciplinary Program in Smart Agriculture, Kangwon National University, Chuncheon, Republic of Korea
- College of Agricultural and Life Sciences, Department of Biosystem Engineering, Kangwon National University, Chuncheon, Republic of Korea
| | - Seung-Hwa Yu
- Upland Mechanization Team, National Institute of Agricultural Sciences, Department of Agriculture Engineering, Rural Development Administration, Jeonju, Republic of Korea
| | - Cheolwoo Han
- Department of Agriculture and Biosystem, Korea Polytechnic, Gimje, Republic of Korea
| | - Sun Wook Baek
- Department of Smart Agriculture, Korea Agriculture Technology Promotion Agency, Iksan, Republic of Korea
| | - Chun-Gu Lee
- Upland Mechanization Team, National Institute of Agricultural Sciences, Department of Agriculture Engineering, Rural Development Administration, Jeonju, Republic of Korea
| | - Dae-Hyun Lee
- Department of Biosystems Machinery Engineering, Chungnam National University, Daejeon, Republic of Korea
| | - Yeong Ho Kang
- Department of Crops and Food, Jeollabukdo Agricultural Research & Extension Service, Iksan, Republic of Korea
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Zhang R, Hewitt A, Li L, Yuan H, Ferguson JC, Chen L. Editorial: Advanced technologies of UAV application in crop pest, disease and weed control. FRONTIERS IN PLANT SCIENCE 2023; 14:1253841. [PMID: 37662151 PMCID: PMC10471181 DOI: 10.3389/fpls.2023.1253841] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Accepted: 08/03/2023] [Indexed: 09/05/2023]
Affiliation(s)
- Ruirui Zhang
- National Research Center of Intelligent Equipment for Agriculture, Beijing Academy of Agricultural and Forestry Sciences, Beijing, China
- National Center for International Research on Agricultural Aerial Application Technology, Beijing, China
| | - Andrew Hewitt
- Centre for Pesticide Application and Safety, The University of Queensland, Brisbane, QLD, Australia
| | - Longlong Li
- National Research Center of Intelligent Equipment for Agriculture, Beijing Academy of Agricultural and Forestry Sciences, Beijing, China
- National Center for International Research on Agricultural Aerial Application Technology, Beijing, China
| | - Huizhu Yuan
- State Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences (CAAS), Beijing, China
| | | | - Liping Chen
- National Research Center of Intelligent Equipment for Agriculture, Beijing Academy of Agricultural and Forestry Sciences, Beijing, China
- National Center for International Research on Agricultural Aerial Application Technology, Beijing, China
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Gong C, Chen F, Cui B, Wang A, Zhang Z, Zhou Z, Liu Y. Droplet spatial distribution of oil-based emulsion spray. FRONTIERS IN PLANT SCIENCE 2023; 14:1183387. [PMID: 37360725 PMCID: PMC10285221 DOI: 10.3389/fpls.2023.1183387] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/10/2023] [Accepted: 05/16/2023] [Indexed: 06/28/2023]
Abstract
Introduction Oil-based emulsion solution is a common pesticide formulation in agricultural spraying, and its spray characteristics are different from that of water spraying. The well understanding of its spray characteristics is the theoretical basis to improve the pesticide spraying technology. The objective of the present study is to deepen the understanding of the spray characteristics of oil-based emulsion. Method In this paper, the spatial distribution characteristics of spray droplets of oil-based emulsion were captured visually using the high-speed photomicrography. On the basis of image processing method, the droplet size and distribution density of spray droplets at different spatial locations were analyzed quantitatively. The effects of nozzle configuration and emulsion concentration on spray structures and droplet spatial distribution were discussed. Results Oil-based emulsion produced a special perforation atomization mechanism compared with water spray, which led to the increase of spray droplet size and distribution density. Nozzle configuration had a significant effect on oil-based emulsion spray, with the nozzle changed from ST110-01 to ST110-03 and ST110-05; the sheet lengths increased to 18 and 28 mm, respectively, whereas the volumetric median diameters increased to 51.19% and 76.00%, respectively. With emulsion concentration increased from 0.02% to 0.1% and 0.5%, the volumetric median diameters increased to 5.17% and 14.56%, respectively. Discussion The spray droplet size of oil-based emulsion spray can be scaled by the equivalent diameter of discharge orifice of nozzles. The products of volumetric median diameters and corresponding surface tensions were nearly constant for the oil-based emulsion spray of different emulsion concentrations. It is expected that this research could provide theoretical support for improving the spraying technology of oil-based emulsion and increasing the utilization of pesticide.
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Affiliation(s)
- Chen Gong
- School of Agricultural Engineering, Jiangsu University, Zhenjiang, China
| | - Fujun Chen
- School of Agricultural Engineering, Jiangsu University, Zhenjiang, China
| | - Bingbo Cui
- School of Agricultural Engineering, Jiangsu University, Zhenjiang, China
| | - Aichen Wang
- School of Agricultural Engineering, Jiangsu University, Zhenjiang, China
| | - Zhao Zhang
- College of Information and Electrical Engineering, China Agricultural University, Beijing, China
| | - Zhenjiang Zhou
- College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, Zhejiang, China
| | - Yufei Liu
- College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, Zhejiang, China
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Jiang Y, Yang Z, Xu X, Shen D, Jiang T, Xie B, Duan J. Wetting and deposition characteristics of air-assisted spray droplet on large broad-leaved crop canopy. FRONTIERS IN PLANT SCIENCE 2023; 14:1079703. [PMID: 36743480 PMCID: PMC9895840 DOI: 10.3389/fpls.2023.1079703] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/25/2022] [Accepted: 01/09/2023] [Indexed: 06/18/2023]
Abstract
Precision and efficient pesticide spraying is an important part of precision agriculture, banana is a large broad-leaved plant, with pests and diseases, has a high demand for spraying and pest control. The purpose of this study was to clarify the wettability of different pesticides on the banana leaf surface, and the effects of nozzle type and working parameters on the deposition distribution performance under air-assisted spray conditions. The wettability test results of different pesticides on banana leaf surfaces showed that the wettability of the adaxial side was always stronger than that of the abaxial side, the smaller the surface tension of the droplets, the better the wettability on the surface. The spray experiment was carried out on the previously developed air-assisted sprayer with the latest developed intelligent variable spray control system. Three types of nozzles were used to spray with different combinations of working parameters. The deposition distribution performance on the banana leaf surface was obtained by image processing using a self-compiled program. The experimental results show that the nozzle type, wind speed, and spray pressure have significant effects on the deposition distribution performance. Through the study of the interaction and coupling effect of nozzle type and working parameters on the spray droplet deposition distribution on both sides of banana leaves, the results show that under the conditions of hollow cone nozzle, 0.5Mpa spray pressure and 3-5 m/s wind speed, the spray coverage and droplet density are in the optimal state. This is mainly due to the low spray pressure and/or wind speed is not enough to make the banana leaves vibrate and improve the performance of pesticide deposition. excessive spray pressure and/or wind speed will cause large deformation of banana leaves and make them airfoil stable, which reduces the surface deposition performance. It is of great significance for promoting sustainable and intelligent phytoprotection.
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Affiliation(s)
- Yinlong Jiang
- College of Engineering, South China Agricultural University, Guangzhou, China
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou, China
| | - Zhou Yang
- College of Engineering, South China Agricultural University, Guangzhou, China
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou, China
- School of Mechanical Engineering, Guangdong Ocean University, Zhanjiang, China
| | - Xing Xu
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou, China
- College of Electronic Engineering (College of Artificial Intelligence), South China Agricultural University, Guangzhou, China
| | - Dongying Shen
- College of Engineering, South China Agricultural University, Guangzhou, China
| | - Tingting Jiang
- College of Engineering, South China Agricultural University, Guangzhou, China
| | - Bowei Xie
- College of Engineering, South China Agricultural University, Guangzhou, China
| | - Jieli Duan
- College of Engineering, South China Agricultural University, Guangzhou, China
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou, China
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