Molecular enhancements help plants light up when they're under attack

Imagine that plants could tell us exactly when they're stressed, infected, or being eaten by insects, by lighting up. A new ...
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 ...
IEEE

Smart Disease Severity Detection System using YOLO and CNN for Plant Health Monitoring

Abstract: Agriculture plays an importance role in feeding the global population; thus, timely and accurate plant diseases diagnosis is crucial to yield protection. This research implements a hybrid ...
IEEE

Detection of Powdery Mildew in Cherry Plant Leaves using Machine Learning and CNN

Abstract: Timed observation and accurate detection of plant diseases is vital for minimizing the damage to the crops and securing food for the long term, but particularly with cherry powdery mildew ...
IEEE

Crispvision: Apple Leaf Disease Detection Using Machine Learning and Deeper CNN

Abstract: Identifying diseases in apple leaves plays a vital role in boosting farm productivity and preventing crop losses. This research introduces a comprehensive approach for classifying images of ...
IEEE

Commercial Plant Leaf Disease Detection in the Coastal and Malnad Regions of Karnataka using CNN, DenseNet121, and InceptionV3

Abstract: Leaf diseases pose a major threat to the productivity and quality of commercial crops in the coastal and Malnad regions, renowned for their diverse and high-value agricultural practices. In ...
IEEE

CNN-Driven Smart System for Automated Plant Disease Detection and Classification

Abstract: Banana farming is an important part of agriculture in South Asia. However, the crop is often affected by fungal leaf spot diseases such as Sigatoka, Cordana, and Pestalotiopsis, which reduce ...
IEEE

Hyperparameter Optimization of CNN Models for Plant Leaf Disease Classification Using Optuna

Abstract: Leaf diseases are a major challenge for agricultural productivity, requiring accurate and efficient detection methods. This research presents an effective method for multi-class ...