A thesis reports roughly 99 percent CNN accuracy on five rice grain varieties and four rice leaf diseases with LIME/SHAP overlays, replicating prior published results on the same public datasets.
Deep feature based rice leaf disease identification using support vector machine,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2025 1verdicts
REJECT 1representative citing papers
citing papers explorer
-
Advancements in Crop Analysis through Deep Learning and Explainable AI
A thesis reports roughly 99 percent CNN accuracy on five rice grain varieties and four rice leaf diseases with LIME/SHAP overlays, replicating prior published results on the same public datasets.