Improving Deep Learning Classifiers Performance via Preprocessing and Class Imbalance Approaches in a Plant Disease Detection Pipeline

The foundation of effectively predicting plant disease in the early stage using deep learning algorithms is ideal for addressing food insecurity, inevitably drawing researchers and agricultural specialists to contribute to its effectiveness. The input preprocessor, abnormalities of the data (i.e., i...

Full description

Bibliographic Details

Published in:	Agronomy
Main Authors:	Mike O. Ojo, Azlan Zahid
Format:	Article
Language:	English
Published:	MDPI AG 2023-03-01
Subjects:	artificial intelligence computer vision image preprocessing class imbalance smart agriculture bacterial wilt
Online Access:	https://www.mdpi.com/2073-4395/13/3/887