Findings from School of Information Technology in Electrical and Computer Engineering Reported (An Improved Crop Disease Identification Method Based on Lightweight Convolutional Neural Network)

摘要

By a News Reporter-Staff News Editor at Network Daily News – Current study results on electrical and computer engineering have been published. According to news reporting from the School of Information Technology by NewsRx journalists, research stated, “Identifying crop disease fast, intelligently and accurately, plays a vital role in agricultural informatization development, while existing methods are almost performed manually, which depends on expert experience, and thus the identifying result is inevitably influenced by personal preferences. To address these issues, an improved crop disease identification method based on convolutional neural network is proposed to process images of crops for identifying diseases.”