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Productivity model and experiment of field crop spraying by plant protection unmanned aircraft
Traditional agricultural production requires numerous human and material resources; however, agricultural production efficiency is low. The successful development of plant protection unmanned aerial vehicles (UAVs) has changed the operation mode of traditional agricultural production, saving human,...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10154536/ https://www.ncbi.nlm.nih.gov/pubmed/37152163 http://dx.doi.org/10.3389/fpls.2023.1168228 |
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author | Qin, Weicai Chen, Panyang Wang, Baokun |
author_facet | Qin, Weicai Chen, Panyang Wang, Baokun |
author_sort | Qin, Weicai |
collection | PubMed |
description | Traditional agricultural production requires numerous human and material resources; however, agricultural production efficiency is low. The successful development of plant protection unmanned aerial vehicles (UAVs) has changed the operation mode of traditional agricultural production, saving human, material, and financial resources and significantly improving production efficiency. To summarize the process of improving the productivity of plant protection UAVs, this study established a productivity calculation model of UAVs based on the time composition of the UAV agricultural plant protection process, including spraying, turning, replenishment, and transfer times. The time required for the unmanned aircraft application process was counted through years of tracking the application process of eight different plant protection unmanned aircraft. Plot lengths of 100, 300, 500, 700, 1,000, 1,500, 2,000, 2,500, 3,000, and 3,500 m were established to calculate the theoretical productivity. The results showed that the productivity of different types of plant protection UAVs increased with an increase in plot length in the range of 100 to 1,500 m; however, when the plot length reached a certain value, the productivity growth rate slowed down or even decreased slightly. Simultaneously, based on the working area per 10,000 mu, the recommended plot length and the number of configured models for different models were recommended. If the plant protection UAV was distinguished by electric and oil power, the time utilization rate of electric plant protection UAVs was 72.7%, and the labor productivity was 56.4 mu/person·h. In contrast, the time utilization rate of the heavy load oil-powered plant protection unmanned aircraft was 86%, and the labor productivity was 63.5 mu/person ·h. This study can support plant protection UAV enterprises to optimize equipment efficiency, provide evaluation methods for the operation efficiency assessment of plant protection UAVs, provide a reference for the selection of plant protection UAVs, and provide a basis for field planning. |
format | Online Article Text |
id | pubmed-10154536 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-101545362023-05-04 Productivity model and experiment of field crop spraying by plant protection unmanned aircraft Qin, Weicai Chen, Panyang Wang, Baokun Front Plant Sci Plant Science Traditional agricultural production requires numerous human and material resources; however, agricultural production efficiency is low. The successful development of plant protection unmanned aerial vehicles (UAVs) has changed the operation mode of traditional agricultural production, saving human, material, and financial resources and significantly improving production efficiency. To summarize the process of improving the productivity of plant protection UAVs, this study established a productivity calculation model of UAVs based on the time composition of the UAV agricultural plant protection process, including spraying, turning, replenishment, and transfer times. The time required for the unmanned aircraft application process was counted through years of tracking the application process of eight different plant protection unmanned aircraft. Plot lengths of 100, 300, 500, 700, 1,000, 1,500, 2,000, 2,500, 3,000, and 3,500 m were established to calculate the theoretical productivity. The results showed that the productivity of different types of plant protection UAVs increased with an increase in plot length in the range of 100 to 1,500 m; however, when the plot length reached a certain value, the productivity growth rate slowed down or even decreased slightly. Simultaneously, based on the working area per 10,000 mu, the recommended plot length and the number of configured models for different models were recommended. If the plant protection UAV was distinguished by electric and oil power, the time utilization rate of electric plant protection UAVs was 72.7%, and the labor productivity was 56.4 mu/person·h. In contrast, the time utilization rate of the heavy load oil-powered plant protection unmanned aircraft was 86%, and the labor productivity was 63.5 mu/person ·h. This study can support plant protection UAV enterprises to optimize equipment efficiency, provide evaluation methods for the operation efficiency assessment of plant protection UAVs, provide a reference for the selection of plant protection UAVs, and provide a basis for field planning. Frontiers Media S.A. 2023-04-19 /pmc/articles/PMC10154536/ /pubmed/37152163 http://dx.doi.org/10.3389/fpls.2023.1168228 Text en Copyright © 2023 Qin, Chen and Wang https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Plant Science Qin, Weicai Chen, Panyang Wang, Baokun Productivity model and experiment of field crop spraying by plant protection unmanned aircraft |
title | Productivity model and experiment of field crop spraying by plant protection unmanned aircraft |
title_full | Productivity model and experiment of field crop spraying by plant protection unmanned aircraft |
title_fullStr | Productivity model and experiment of field crop spraying by plant protection unmanned aircraft |
title_full_unstemmed | Productivity model and experiment of field crop spraying by plant protection unmanned aircraft |
title_short | Productivity model and experiment of field crop spraying by plant protection unmanned aircraft |
title_sort | productivity model and experiment of field crop spraying by plant protection unmanned aircraft |
topic | Plant Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10154536/ https://www.ncbi.nlm.nih.gov/pubmed/37152163 http://dx.doi.org/10.3389/fpls.2023.1168228 |
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