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Biological control technology and application based on agricultural unmanned aerial vehicle (UAV) intelligent delivery of insect natural enemies (Trichogramma) carrier.
- Source :
-
Pest management science [Pest Manag Sci] 2021 Jul; Vol. 77 (7), pp. 3259-3272. Date of Electronic Publication: 2021 Apr 24. - Publication Year :
- 2021
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Abstract
- Background: Agricultural pests and diseases affect grain yield and quality. In addition to the use of chemical agents, the biological control of diseases and insect pests has attracted more and more attention due to an urgent need for environmental protection. However, traditional operational methods do not integrate well with biological control technology. With the advantages of simple operation, low operating cost, high operating efficiency and wide application range, use of multirotor unmanned aerial vehicles (UAVs) in biological control is of great significance.<br />Results: An intelligent delivery system comprising an insect natural enemy (Trichogramma) capsule based on an M45 electric multirotor UAV was built to release Trichogramma ostriniae in corn fields under full autonomous mode. During operation, the M45 UAV can fly accurately in accordance with operational requirements; average deviation between the actual and planned routes was 0.24 m, the average flight speed was 9.18 m s <superscript>-1</superscript> and the average altitude was 5.08 m. The effective coverage rate of natural enemies was 99.33% and the coverage redundancy was 36.75%. After delivery, an investigation into the field control effect showed an average control effect of 83.70%, which can result in effective pest control.<br />Conclusion: A natural enemy carrier intelligent delivery system based on an M45 electric multirotor UAV was found to have good flight performance. In addition, natural enemies were evenly distributed, giving even coverage of the target fields. The system had a good control effect. © 2021 Society of Chemical Industry.<br /> (© 2021 Society of Chemical Industry.)
- Subjects :
- Animals
Pest Control
Remote Sensing Technology
Technology
Agriculture
Hymenoptera
Subjects
Details
- Language :
- English
- ISSN :
- 1526-4998
- Volume :
- 77
- Issue :
- 7
- Database :
- MEDLINE
- Journal :
- Pest management science
- Publication Type :
- Academic Journal
- Accession number :
- 33759315
- Full Text :
- https://doi.org/10.1002/ps.6371