Research review on automatic detection of crop pests based on intelligent vision
Lei Liu
DOI: https://doi.org/10.59429/esta.v10i4.1640
Keywords: intelligent vision; Crop; Pests; Automatic detection; Overview
Abstract
With the continuous development of science and technology, i ntelligent technology has become one of the main trends of today’s social development. In the fi eld of agriculture, intelligent vision technology, as a new technical means, has been widely used in the automatic detection of crop pests. Through intelligent vision technology, the automatic identifi cation, classifi cation and counting of pests can be realized, and the quality and effi ciency of agricultural production can be improved. This paper will review the research on automatic detection of crop pests based on intelligent vision, aiming to provide reference and reference for the research in related fi elds.
References
[1] Junyi Bu,Guoxiang Sun,Yingxu Wang, etal. Identifi cation and monitoring method of tomato crop pests in greenhouse based on trap plate images [J].
Journal of Nanjing Agricultural University, 2019,44 (2) : 373-383.
[2] Ministry of Agriculture and Rural Aff airs of the People’s Republic of China. Technical Program of biological control of important vegetable pests in
protected areas in 2012 [EB/OL]. http://www.mao.gov.cn/gk/nszd_1/2021/202103/t20210231_6363457.htm,2021-03-11.
[3] Deqin Xiao, Yigui Huang,Yuanqin Zhang, etal. Detection algorithm of yellow plate pests in fi eld based on improved Faster-CNN [J]. Transactions of the
Chinese Society for Agricultural Machinery, 201, 52 (6) : 242-251.
[4] Lifang Wu. Research on Agriculture 4.0 model and development Strategy based on the Wisdom age [J]. Agricultural Economics, 2021 (5) : 9-11.
[5] Ji Li,Shuting Yang,Jing Ma. Research on counting method of Wolfberry insect pests based on computer vision.] Ningxia Agriculture and Forestry Science
and Technology, 2018,59 (10) : 50-52.