Multi‐gradient‐direction based deep learning model for arecanut disease identification

• Published in: CAAI Transactions on Intelligence Technology Vol. 7; no. 2; pp. 156 - 166
• Main Authors: Mallikarjuna, S. B., Shivakumara, Palaiahnakote, Khare, Vijeta, Basavanna, M., Pal, Umapada, Poornima, B.
• Format: Journal Article
• Language: English
• Published: Beijing John Wiley & Sons, Inc 01.06.2022; Wiley
• Subjects: Artificial neural networks; Classification; Deep learning; Disease; Identification; image analysis; Image enhancement; Image processing; Machine learning; Market prices; Medical imaging; Methods; pattern recognition; Myanmar (Burma); South Asia

Arecanut disease identification is a challenging problem in the field of image processing. In this work, we present a new combination of multi‐gradient‐direction and deep convolutional neural networks for arecanut disease identification, namely, rot, split and rot‐split. Due to the effect of the dis...