BeanXNet: A Deep Hybrid CNN Approach for Bean Leaf Disease Classification with Explainable AI

An Explainable Deep Learning Framework for Plant Leaf Disease Detection Using a Custom CNN Model

Agricultural sustainability relies heavily on the early detection of plant path

Leveraging Deep Learning for Efficient Bean Leaf Disease Classification in Uganda

Beans are one of the most important plants worldwide, both in their dried and fresh forms. They are

Development of a Hybrid Pretrained Deep Learning Model with Explainable AI for Tomato Disease Detection

Tomato cultivation plays a pivotal role in ensuring global food security and sustaining national eco

Hybrid ensemble - deep transfer model for early cassava leaf disease classification

CottonLeafVision: An Explainable and Robust Deep Learning Framework for Cotton Leaf Disease Classification

Globally, cotton is a highly economically beneficial crop, as the textile industry heavily depends o

Field pea leaf disease classification using a deep learning approach

Field peas are grown by smallholder farmers in Ethiopia for food, fodder, income, and soil fertility