IEEE

Plant Disease Detection Using Convolutional Neural Network (CNN)

Abstract: The proposed project is to use CNN for early diagnosing and prognosing plant diseases. The system automates the analysis of large volumes of images that capture leaves of different plants in ...
IEEE

Classification and Detection of Apple Leaf Disease Using DenseNet201 and YOLOV8

Abstract: Globally, plant diseases severely reduce crop output, consequently affecting agricultural productivity. Lots of specialist expertise makes it tough to detect those issues. The usage of leaf ...
IEEE

Multi Class Classification for Pox Disease using Deep Learning

Abstract: Pox diseases are viral infections affecting humans, animals, and plants. Such diseases cause serious health, economic, and agricultural repercussions. Identifying the disease early and ...
IEEE

A Hybrid Model using CNN and Genetic Algorithm for Pattern Classification of Interstitial Lung Disease

Abstract: Our objective is to develop an advanced computational approach to classify patterns of Interstitial Lung Disease(ILD) using a Hybrid model of Convolutional Neural Network(CNN) and Genetic ...
Hosted on MSN

Recycling plant using AI to find lithium batteries in waste

Engineers said the smart system can also help recover valuable metals before going into the landfill. Johnson: Stand-alone SNAP, federal salary bills a ‘waste of our time’ Scientists Studied ...
IEEE

Rice Plant Disease Detection, Classification, and Mapping System Using Drone

Abstract: Rice diseases cause 10–30% annual yield losses, posing a major threat to food security. While previous studies focused on detecting a single disease, this study expands detection to three ...
IEEE

Plant Leaf Disease Detection for Sustainable Crop Monitoring Using CNN-Based Approaches

Abstract: Global agricultural sustainability and food security are increasingly challenged by pervasive crop diseases, necessitating advanced, real-time detection systems. Existing methodologies often ...
IEEE

Deep Learning-Based Classification of Coconut Leaf Diseases Using Optimized CNN Models

Abstract: Leaf diseases of coconut severely affect the yield and quality of the crops. Early detection is imperative for any control measures to be effective. Here, an approach on the deep ...
Frontiers

SE-enhanced 1-D CNN with full-band hyperspectral imaging for rapid and accurate maize seed variety classification

College of Information Science and Technology, Gansu Agricultural University, Lanzhou, China Introduction: Accurate identification of maize seed varieties is essential for enhancing crop yield and ...