Year: 2024
Type: article
Abstract: To expand the application of new energy technology in agriculture and improve the monitoring effect of agricultural pests and diseases, this paper proposes a new energy aerial tracing method to extract the identification indicators of pests and diseases in aerial photography. Then, combined with the occurrence area and occurrence rate of pests and diseases, the calculation and analysis were carried out, and the early warning was carried out according to the point characteristics of pests and diseases. The results show that the monitoring and identification of pests and diseases can improve the identification rate of flying pests, plant pests and underground pests by combining the new energy aerial mapping method, improve the identification accuracy from 74.68% to 88.67%, and carry out early warning, reduce the cost of agricultural loss by 38 million~154 million yuan, and the identification range from 14,500 hectares~16,500 hectares, and reduce the monitoring time by 74.5~87.5%. Therefore, new energy technology can meet the monitoring requirements of agricultural pests and diseases, which is helpful to promote the development of new energy further.
DOI: 10.52152/4026
Author: Yuanyuan He
Institution: Xi'an Traffic Engineering Institute
Language: English
Topic: Smart Agriculture and AI
Subfield: Plant Science
Domain: Life Sciences
Open Access status: bronze
OpenAlex ID: W4403233275