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.
关键词
计算机人工智能/作物病害识别/防治/深度学习/可持续发展
Key words
Computer artificial intelligence/Crop disease identification/Prevention/Deep learning/Sustainable development
维普
万方数据