An experimental study of acoustic bird repellents for reducing bird encroachment in pear orchards.

ABSTRACT: Bird invasion will reduce the yield of high-value crops, which threatens the healthy development of agricultural economy. Sonic bird repellent has the advantages of large range, no time and geographical restrictions, and low cost, which has attracted people's attention in the field of agriculture. At present, there are few studies on the application of sonic bird repellents in pear orchards to minimize economic losses and prolong the adaptive capacity of birds. In this paper, a sound wave bird repellent system based on computer vision is designed, which combines deep learning target recognition technology to accurately identify birds and drive them away. The neural network model that can recognize birds is first trained and deployed to the server. Live video is captured by an installed web

SUBMITTER: Chen Q 

PROVIDER: S-EPMC11416946 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature