Research on plant diseases and insect pests identification based on CNN. Issue 1 (December 2020)

• Record Type: Journal Article
• Authors: Tian, L G; Liu, C; Liu, Y; Li, M; Zhang, J Y; Duan, H L
• Is Part Of: IOP conference series. Volume 594:Issue 1(2020)
• Publication Date: 2020-12
• Subjects: Earth sciences -- Periodicals; Environmental sciences -- Congresses; Environmental sciences -- Periodicals; 550.5
• DOI: 10.1088/1755-1315/594/1/012009
• Languages: English
• ISSNs: 1755-1307

Abstract

Abstract: Plant diseases and insect pests are common factors affecting plant growth, which is directly harmful to the quality of agricultural production. In order to identify and classify plant diseases and insect pests, in this paper, a detection method based on convolutional neural network (CNN) is proposed. Specifically, this paper first introduces the processes of plant diseases and insect pests data collection, and then the methodology for training detection model based on CNN is described. Finally, a series of comparative experiments are conducted to demonstrate the effectiveness of our model, and experimental results show our model achieves competitive performance on plant diseases and insect pests dataset.