Abstract
In recent years, the identification of pests and diseases has become a hot topic. More and more researchers are dedicated to the detection and identification of pests and diseases to achieve precision agriculture. Automatic detection of the number of pests on crops in the area has become an important means to optimize agricultural resources. With the development of modern digital technology, image processing technology has also developed rapidly, opening a new way for the identification of harmful organisms. During the agricultural planting process, timely and accurately analyze crop pests and diseases in order to make quick and accurate responses, spray pesticides accurately on the affected area, ensure the efficient use of pesticides, and achieve high yields. This article will introduce the research progress of pest identification in the second part, including disease and pest identification, pest number and position detection, existing dataset. In the third part, this article will introduce some of the methods used in previous articles. Summarize in the fourth part.
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Huo, M., Tan, J. (2020). Overview: Research Progress on Pest and Disease Identification. In: Lu, Y., Vincent, N., Yuen, P.C., Zheng, WS., Cheriet, F., Suen, C.Y. (eds) Pattern Recognition and Artificial Intelligence. ICPRAI 2020. Lecture Notes in Computer Science(), vol 12068. Springer, Cham. https://doi.org/10.1007/978-3-030-59830-3_35
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DOI: https://doi.org/10.1007/978-3-030-59830-3_35
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