Application of Computer Artificial Intelligence in Crop Disease Identi-fication and Prevention
This study systematically reviews the current application research of computer artificial intelligence technology in the field of crop diseases,mainly covering aspects such as deep learning,image processing,and ma-chine learning.By analyzing the limitations of traditional methods in crop disease identification,the urgency of in-troducing computer artificial intelligence technology is emphasized.At the same time,this study detailedly intro-duces the means of computer artificial intelligence technology in crop disease detection and prevention,such as Convolutional Neural Networks(CNN),and conducts an in-depth analysis of the current research deficiencies,inclu-ding algorithm generalization ability,data quality,and social acceptance,etc.Through a comprehensive analysis of current research,we believe that computer artificial intelligence technology has a very broad application prospect in the prevention and control of crop diseases.Further research should focus more on interdisciplinary research,practical application of technology,data privacy protection,and sustainable development.
Computer artificial intelligenceCrop disease identificationPreventionDeep learningSustainable development
万方数据
维普
