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

• Main Authors: Mallikarjuna, S. B., Shivakumara, Palaiahnakote, Khare, Vijeta, Basavanna, M., Pal, Umapada, Poornima, B.
• Format: Article
• Published: Wiley 2022
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://eprints.um.edu.my/42956/

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...