Influencing factors analysis in pear disease recognition using deep learning

• Published in: Peer-to-peer networking and applications Vol. 14; no. 3; pp. 1816 - 1828
• Main Authors: Yang, Fang, Li, Fuzhong, Zhang, Kai, Zhang, Wuping, Li, Shancang
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.05.2021; Springer Nature B.V
• Subjects: Communications Engineering; Computer Communication Networks; Deep learning; Engineering; Information Systems and Communication Service; Networks; Neural networks; Plant diseases; Recognition; Signal,Image and Speech Processing; Special Issue on P2P Computing for Deep Learning; Pear diseases dataset; Deep learning (DL); Transfer learning; Disease recognition; Resolution

Influencing factors analysis plays an important role in plant disease identification. This paper explores the key influencing factors and severity recognition of pear diseases using deep learning based on our established pear disease database (PDD2018), which contains 4944 pieces of diseased leaves....