计算机工程与应用2019，Vol.55Issue(20)：24-33,51,11.DOI:10.3778/j.issn.1002-8331.1907-0089
深度学习在我国农业中的应用研究现状
Research Status of Deep Learning in Agriculture of China
摘要
Abstract
Deep Learning(DL)has been widely used in intelligent agriculture for plant disease detection, plant and fruit recognition, crop and weed detection and classification and so on. 65 articles from 2014 to 2019 on the application of DL in agriculture of China are presented. At first, the basic concept and development history of DL are briefly introduced, and the article retrieval and distribution of the reviewed articles are given. Subsequently, the articles are reviewed from vari-ous points of view such as research object, data source, inter-class differences, preprocessing, data-augmentation, frame-work and performance comparison. Eventually, the advantages and disadvantages of DL are analyzed, and its develop-ment trends in agriculture are demonstrated.关键词
深度学习/智能农业/检测/识别/分类/预测Key words
deep learning/intelligent agriculture/detection/recognition/classification/prediction分类
信息技术与安全科学引用本文复制引用
吕盛坪,李灯辉,冼荣亨..深度学习在我国农业中的应用研究现状[J].计算机工程与应用,2019,55(20):24-33,51,11.基金项目
国家自然科学基金(No.51605169). （No.51605169）
