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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...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: Mike O. Ojo, Azlan Zahid
Format: Artigo
Sprache:Inglês
Veröffentlicht: MDPI AG 2023-03-01
Schriftenreihe:Agronomy
Schlagworte:
artificial intelligence
computer vision
image preprocessing
class imbalance
smart agriculture
bacterial wilt
Online-Zugang:https://www.mdpi.com/2073-4395/13/3/887
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