Agricultural Environment and Intelligent Plant Protection Equipment
The agricultural environment refers to the combination of various natural and artificially modified natural factors that affect the survival and development of agricultural organisms, including farmland, forest, grassland, irrigation water, air, light, the heat and chemical fertilizers applied to fa...
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| Natura: | Online |
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| Lingua: | inglese |
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MDPI - Multidisciplinary Digital Publishing Institute
2024
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| Soggetti: | |
| Accesso online: | ONIX_20240906_9783725815838_122 |
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| _version_ | 1869521727551176704 |
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| collection | Directory of Open Access Books |
| description | The agricultural environment refers to the combination of various natural and artificially modified natural factors that affect the survival and development of agricultural organisms, including farmland, forest, grassland, irrigation water, air, light, the heat and chemical fertilizers applied to farmland, pesticides, and agricultural equipment. These factors constitute a comprehensive agricultural environment system, interacting with each other and affecting agricultural production together. As a vital component of the agricultural environment, plant protection equipment plays an indispensable role in agricultural production. The intellectualization of plant protection equipment is important in driving agricultural development processes. With the advantages of saving time and effort, precision, and a high efficiency, intelligent plant protection equipment makes great contributions to cost reduction, increasing incomes, as well as to the healthy and sustainable development of agriculture. In this Special Issue, we aim to exchange knowledge on any aspect related to the agricultural environment and intelligent plant protection equipment to promote sustainable agricultural development. |
| format | Online |
| id | doab-20.500.12854ir-143760 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1437602024-09-06T08:19:44Z Agricultural Environment and Intelligent Plant Protection Equipment He, Xiongkui Yang, Fuzeng Qiu, Baijing air-assisted sprayer airflow distribution pattern deposit coverage spray penetration farmland information disease and pest identification temperature and humidity acquisition mobile monitoring on-line pesticide mixing pipeline spraying pesticide mixing apparatus CFD orthogonal experiment optimization orchard sprayer pesticide application canopy deposition rate hyperspectral imaging technology plant disease identification photo response machine learning multi-scale feature fusion U-Net UAV multi-spectral image complex wheat fields ground object classification agroecosystem revegetation soil erosion deposition enzyme activity microbial metabolic limitation conventional orchard spraying trailer navigation path tracking reinforcement learning spraying–dosing robot group collaborative navigation map construction traditional orchard droplet size downwash airflow flat fan nozzle redgram leaf UAV sprayer aerial application drift control agricultural aircraft unmanned aerial spraying system (UASS) spray drift test bench petri dish wind speed nozzle cumulative drift percentage correlation analysis agrivoltaics agricultural building photothermal environment ECOTECT simulation smart mango orchard co-operative plant protection pest control n/a thema EDItEUR::P Mathematics and Science thema EDItEUR::P Mathematics and Science::PS Biology, life sciences The agricultural environment refers to the combination of various natural and artificially modified natural factors that affect the survival and development of agricultural organisms, including farmland, forest, grassland, irrigation water, air, light, the heat and chemical fertilizers applied to farmland, pesticides, and agricultural equipment. These factors constitute a comprehensive agricultural environment system, interacting with each other and affecting agricultural production together. As a vital component of the agricultural environment, plant protection equipment plays an indispensable role in agricultural production. The intellectualization of plant protection equipment is important in driving agricultural development processes. With the advantages of saving time and effort, precision, and a high efficiency, intelligent plant protection equipment makes great contributions to cost reduction, increasing incomes, as well as to the healthy and sustainable development of agriculture. In this Special Issue, we aim to exchange knowledge on any aspect related to the agricultural environment and intelligent plant protection equipment to promote sustainable agricultural development. 2024-09-06T08:19:39Z 2024-09-06T08:19:39Z 2024 book ONIX_20240906_9783725815838_122 9783725815838 9783725815845 https://directory.doabooks.org/handle/20.500.12854/143760 eng application/octet-stream Attribution-NonCommercial-NoDerivatives 4.0 International https://mdpi.com/books/pdfview/book/9484 https://mdpi.com/books/pdfview/book/9484 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-7258-1584-5 10.3390/books978-3-7258-1584-5 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783725815838 9783725815845 open access |
| spellingShingle | air-assisted sprayer airflow distribution pattern deposit coverage spray penetration farmland information disease and pest identification temperature and humidity acquisition mobile monitoring on-line pesticide mixing pipeline spraying pesticide mixing apparatus CFD orthogonal experiment optimization orchard sprayer pesticide application canopy deposition rate hyperspectral imaging technology plant disease identification photo response machine learning multi-scale feature fusion U-Net UAV multi-spectral image complex wheat fields ground object classification agroecosystem revegetation soil erosion deposition enzyme activity microbial metabolic limitation conventional orchard spraying trailer navigation path tracking reinforcement learning spraying–dosing robot group collaborative navigation map construction traditional orchard droplet size downwash airflow flat fan nozzle redgram leaf UAV sprayer aerial application drift control agricultural aircraft unmanned aerial spraying system (UASS) spray drift test bench petri dish wind speed nozzle cumulative drift percentage correlation analysis agrivoltaics agricultural building photothermal environment ECOTECT simulation smart mango orchard co-operative plant protection pest control n/a thema EDItEUR::P Mathematics and Science thema EDItEUR::P Mathematics and Science::PS Biology, life sciences Agricultural Environment and Intelligent Plant Protection Equipment |
| title | Agricultural Environment and Intelligent Plant Protection Equipment |
| title_full | Agricultural Environment and Intelligent Plant Protection Equipment |
| title_fullStr | Agricultural Environment and Intelligent Plant Protection Equipment |
| title_full_unstemmed | Agricultural Environment and Intelligent Plant Protection Equipment |
| title_short | Agricultural Environment and Intelligent Plant Protection Equipment |
| title_sort | agricultural environment and intelligent plant protection equipment |
| topic | air-assisted sprayer airflow distribution pattern deposit coverage spray penetration farmland information disease and pest identification temperature and humidity acquisition mobile monitoring on-line pesticide mixing pipeline spraying pesticide mixing apparatus CFD orthogonal experiment optimization orchard sprayer pesticide application canopy deposition rate hyperspectral imaging technology plant disease identification photo response machine learning multi-scale feature fusion U-Net UAV multi-spectral image complex wheat fields ground object classification agroecosystem revegetation soil erosion deposition enzyme activity microbial metabolic limitation conventional orchard spraying trailer navigation path tracking reinforcement learning spraying–dosing robot group collaborative navigation map construction traditional orchard droplet size downwash airflow flat fan nozzle redgram leaf UAV sprayer aerial application drift control agricultural aircraft unmanned aerial spraying system (UASS) spray drift test bench petri dish wind speed nozzle cumulative drift percentage correlation analysis agrivoltaics agricultural building photothermal environment ECOTECT simulation smart mango orchard co-operative plant protection pest control n/a thema EDItEUR::P Mathematics and Science thema EDItEUR::P Mathematics and Science::PS Biology, life sciences |
| topic_facet | air-assisted sprayer airflow distribution pattern deposit coverage spray penetration farmland information disease and pest identification temperature and humidity acquisition mobile monitoring on-line pesticide mixing pipeline spraying pesticide mixing apparatus CFD orthogonal experiment optimization orchard sprayer pesticide application canopy deposition rate hyperspectral imaging technology plant disease identification photo response machine learning multi-scale feature fusion U-Net UAV multi-spectral image complex wheat fields ground object classification agroecosystem revegetation soil erosion deposition enzyme activity microbial metabolic limitation conventional orchard spraying trailer navigation path tracking reinforcement learning spraying–dosing robot group collaborative navigation map construction traditional orchard droplet size downwash airflow flat fan nozzle redgram leaf UAV sprayer aerial application drift control agricultural aircraft unmanned aerial spraying system (UASS) spray drift test bench petri dish wind speed nozzle cumulative drift percentage correlation analysis agrivoltaics agricultural building photothermal environment ECOTECT simulation smart mango orchard co-operative plant protection pest control n/a thema EDItEUR::P Mathematics and Science thema EDItEUR::P Mathematics and Science::PS Biology, life sciences |
| url | ONIX_20240906_9783725815838_122 |