A novel database for plant diseases and pests classification

摘要

In agricultural field, the research, detection, and treatment of plant diseases and pests play a very important role. Prevention or early treatment of diseases and pests can significantly increase crop yields. With rich variety, plants form a mature hierarchical structure based on taxonomic methods. Thus, in the process of computer vision, plant classification and identification have attracted many researchers, and then the detection system of plant diseases and pests came into being. In this paper, the keyword retrieval is used to obtain images of plant diseases and pests from the keyword search engine to build a novel database. After that, a hierarchical multitask learning is proposed to classify plant diseases and pests by leveraging the relationship between different plant species and pests. The experimental results confirmed the feasibility and reliability of the classification of plant diseases and pests using deep learning model.