Florida looks to detect crop disease early with drones, AI as nation’s 3rd celery producer

As the nation’s third-leading producer of celery, Florida’s celery fields are valuable crops in the winter but susceptible to ...
IEEE

Hybrid CNN-Swin Framework for Detection and Classification of Potato Leaf Diseases

Abstract: Timely and accurate identification of plant diseases is essential for sustainable agricultural practices and food security. This study presents a deep learning-based diagnostic framework ...
IEEE

CNN-Powered Mobile Based Ayurvedic Plant Identification and Leaf Disease Detection

Abstract: Medicinal plants are another good source for different types of natural compounds and ayurveda as an Indian traditional medicine also uses a lot of medicinal plants with their nutritive, ...
IEEE

Plants Disease Classification using Deep Learning

Abstract: Early detection of plant disease is useful in reducing its rapid spread; however similar visual appearances of different plant diseases make it a challenging problem. In the proposed ...
IEEE

Plant Disease Detection and Classification using Convolutional Neural Network

Abstract: In this work designs and implements an intelligent AI-powered plant disease detection and classification system through Convolutional Neural Network. This study builds on a key limitation in ...
IEEE

Citrus Disease Detection Using Convolutional Neural Networks: a Deep Learning-Based Precision Agriculture Approach

Abstract: The agricultural economy all around the world is controlled by citrus fruits. Nevertheless, the presence of a number of plant diseases, which are often difficult to detect in an early stage, ...
IEEE

Deep Learning Models for Precision Agriculture: Evaluating CNN Architectures for Accurate Plant Disease Detection

Abstract: Early and precise detection of plant diseases is crucial for enhancing crop yield and minimizing agricultural losses. This paper evaluates the performance of deep learning-based ...
IEEE

Capsicum Plant Advanced Disease Detection Using CNN-SVM Fusion for Precision Crop Protection

Abstract: With the use of a combination of cutting-edge deep learning techniques, such as artificial neural networks, convolutional neural networks, and support vector machines, a unique method for ...
IEEE

Plant Disease Detection System Using Convolutional Neural Networks: a Comprehensive Approach With Real-Time Deployment

Abstract: Early detection of plant diseases is vital for enhancing agricultural output and ensuring global food security. This paper introduces a robust and scalable Plant Disease Detection System ...