Precision Agriculture to Improve the Monitoring and Management of Tomato Insect Pests
Agrochimica(2022)
摘要
Human-based monitoring of arthropod pests of agricultural importance is usually a time-consuming and costly activity. The advent of technologies such as automatic traps opens new opportunities for remote monitoring. In this article, we present a novel Artificial Intelligence (AI)-based approach aimed to developing a smart trap for monitoring two major pests of greenhouse tomatoes, namely whiteflies, i.e., Bemisia tabaci and Trialeurodes vaporariorum (Hemiptera: Aleyrodidae), and leaf miner flies, Liriomyza spp. (Diptera: Agromyzidae).
更多查看译文
关键词
Agriculture 4.0,artificial intelligence,Bemisia tabaci,Liriomyza spp.,Trialeurodes vaporariorum
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要