Research on Intelligent Identification Method of Power Equipment Based on Deep Learning

He, Zhiyuan; Lin, Peng; Xu, Min; Wang, Gang; Yu, Huimei; Bao, Xingchuan; Hou, Zhansheng

doi:10.1007/978-981-15-3863-6_15

Cited by 2 publications

(2 citation statements)

References 1 publication

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“…These systems have demonstrated a four-fold increase in droplet deposition and superior insecticidal efficacy when deployed on fixed-wing aircraft, effectively controlling weeds and pests like cotton aphids, whiteflies, and red spiders [7][8][9][10][11]. In China, rotary-wing UAVs have emerged as versatile tools for plant protection and seeding, frequently employed for swift take-offs and efficient operations on small, scattered land parcels [12][13][14]. These UAVs harness the downwash airflow generated by their propellors to augment penetration while minimizing pesticides droplets drift due to environmental factors [15][16][17][18].…”

Section: Introductionmentioning

confidence: 99%

Development and Characterization of a Contact-Charging Electrostatic Spray UAV System

Zhao,

Cooper,

Chima

et al. 2024

Agriculture

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Utilizing agricultural UAVs for pesticide and insecticide spraying is an effective measure for plant protection. However, achieving effective coverage on the back side of target is often challenging. To address this issue, this study combined a contact-charging spraying system with a UAV to develop an electrostatic plant protection UAV system. Upon activating the electrostatic component, strong electrostatic effects were observed at the nozzle, altering the distribution of the liquid flow; the distribution within the liquid flow became more homogeneous, while the edge regions experienced electrostatic repulsion, leading to changes in droplet size and an increase in droplet density. In the central area, droplet size reduced from 159 μm to 135 μm, while in the edge area, it changed from no value to 120 μm. During field tests using the UAV, the results showed an increase of 1.0 m in effective spray width (at a flight height of 4.0 m), indicating that the charges and propellor wind field contributed to the diffusion of droplets towards the edges. Additionally, the droplet density increased by an average of 19.7 droplets/cm2, and the overall deposition increased by 0.12 μL/cm2, resulting in an approximate three-fold increase compared to conventional spray, which aids in insect control and reduces pesticide usage.

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Section: Introductionmentioning

confidence: 99%

Development and Characterization of a Contact-Charging Electrostatic Spray UAV System

Zhao,

Cooper,

Chima

et al. 2024

Agriculture

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“…However, uniform spraying covers the whole farmland area, while the occurrence of crop diseases and pests often presents in "point" or "patch" forms, inevitably resulting in pesticide waste. Thus, it can reduce resource utilization efficiency, pollute the environment, and affect crop quality and safety, which cannot meet the requirements of modern agricultural development [8][9][10]. If intelligent identification of the occurrence areas of crop diseases and pests can be achieved, targeted spraying in different areas and precise target spraying will greatly reduce the use of pesticides and improve utilization efficiency.…”

Section: Introductionmentioning

confidence: 99%

Application Progress of UAV-LARS in Identification of Crop Diseases and Pests

Zhao,

Zhang,

Lan

et al. 2023

Agronomy

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Disease and pest stress is one of the important threats to crop growth and development, which have a very adverse impact on crop yield and quality every year, even leading to crop failure. Currently, the use of plant protection unmanned aerial vehicles (UAVs) for pesticide spraying is the most effective means of controlling crop diseases and pests. However, the areas where crop pests and diseases occur are often presented in “point-like” or “patchy” forms, and the UAV’s full-coverage spraying method results in a great waste of pesticides. Therefore, there is an urgent need to research a method for identifying the area of diseases and pest stress to achieve precise targeted spraying, in order to reduce the amount of pesticides used and improve their utilization. By analyzing the low-altitude remote sensing images of crop fields taken by UAVs, real-time pesticide spraying prescription maps can be generated to meet the demand for precise targeted spraying. This review focuses on the actual needs of precise targeted spraying by plant protection UAVs. Firstly, the RS monitoring mechanism of crop diseases and pests by UAVs is studied. Secondly, a comprehensive investigation of the literature on UAV Low-altitude Remote Sensing (UAV-LARS) technology for monitoring and identifying crop diseases and pests is conducted, summarizing the research progress in monitoring and identifying crop diseases and pests, especially in wheat, cotton, and rice. Finally, the key issues to be addressed and the future development direction of UAV-LARS monitoring of crop diseases and pests are proposed.

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Research on Intelligent Identification Method of Power Equipment Based on Deep Learning

Cited by 2 publications

References 1 publication

Development and Characterization of a Contact-Charging Electrostatic Spray UAV System

Development and Characterization of a Contact-Charging Electrostatic Spray UAV System

Application Progress of UAV-LARS in Identification of Crop Diseases and Pests

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