Deep CNN model for crops’ diseases detection using leaf images

• Published in: Multidimensional systems and signal processing Vol. 33; no. 3; pp. 981 - 1000
• Main Authors: Kurmi, Yashwant, Saxena, Prankur, Kirar, Bhupendra Singh, Gangwar, Suchi, Chaurasia, Vijayshri, Goel, Aditya
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.09.2022; Springer Nature B.V
• Subjects: Artificial Intelligence; Artificial neural networks; Circuits and Systems; Color imagery; Crop production; Datasets; Electrical Engineering; Engineering; Feature extraction; Image classification; Machine learning; Medical imaging; Neural networks; Signal,Image and Speech Processing; Leaf image preprocessing; CNN model; Identification and classification; Computer-aided diagnosis

The agricultural yield of any country provides the base for the development of that nation. Sustainable growth needs to maintain crop production up to a certain level that depends on the research of their disease detection and treatment. The general approaches available in the literature follow attr...