IEEE

Plant Leaf Disease Detection Using Machine Learning Models

Abstract: The manual identification of plant diseases through visual examination demands large amounts of labor while showing restricted accuracy and variable scope. The implementation of automatic ...
IEEE

Plant Leaf Disease Classification Using Enhanced Preprocessing and CNN Architectures

Abstract: Accurate and timely identification of plant disease is necessary to optimize crop production and facilitate sustainable farming practices. Human inspection methods tend to be slow, laborious ...
Frontiers

Early Detection of Chronic Kidney Disease Using Deep Learning: A Mini Review

The final, formatted version of the article will be published soon. Abstract-Chronic Kidney Disease (CKD) remains a major contributor to global morbidity, often progressing unnoticed until advanced ...
IEEE

Plant Leaf Disease Detection and Crop Yield Improvement Using a Hybrid Machine Learning Framework

Abstract: Plant diseases seriously affect worldwide crop output, threatening food security and agricultural sustainability. This study solves these issues by introducing a hybrid machine learning ...