UF scientists use latest technology to combat citrus greening

UF scientists are developing high‑tech, gene‑edited citrus varieties to help Florida growers fight citrus greening and speed solutions from lab to grove.
IEEE

CNN-Based Plant Disease Classification: An Image Analysis Approach

Abstract: The agriculture industry faces significant challenges in maintaining sustainable plant growth while combating diseases that threaten crops. Traditional disease prevention methods rely on ...
IEEE

Pest and Disease Detection and Classification Using YOLOv8

Abstract: To achieve real time detection and classification of pests to increase agricultural productivity the system is proposed to be a YOLOv8 based pest detection system. Images of agricultural ...
IEEE

Enhancing Early Detection of Maize Leaf Diseases: A Deep Learning Framework using SqueezeNet for Rapid Diagnosis

Abstract: Maize is a staple crop in India and a vital component of the agricultural economy, supporting both food consumption and numerous derived products. However, plant disease infestations pose a ...
IEEE

A Hybrid Network of CNN and Transformer for 3D Lane Detection

Abstract: 3D lane detection is a critical and challenging task in autonomous driving, yet accurately capturing the spatial structure and precise location of lane markings remains challenging in ...
IEEE

Research on Vehicle and Pedestrian Detection and Recognition Algorithm Based on YOLO in Adverse Weather Conditions

Abstract: To address the challenges of vehicle and pedestrian detection in adverse weather conditions, this paper introduces an enhanced MRLNet (Multi-scale Residual Light Network) algorithm based on ...
IEEE

Hybrid Multi-Task CNN Framework with Expert Labels for Advanced Document Forgery Detection

Abstract: The method of Document forgery has full-size demanding situations in daily life, impacting diverse sectors by way of compromising the authenticity by jeopardizing the legitimacy of important ...
IEEE

Lung Disease Detection Using CNNs and Transfer Learning on Medical Imaging

Abstract: Lung disease are some of life's most prevalent lung illnesses, which significantly affect morbidity and mortality. The main reason to diagnose these diseases is to ensure early intervention ...
IEEE

CMNet: A CNN–Mamba Network for Change Detection With Similarity Orientation and Difference Perception

Abstract: Change detection (CD) is a hot research topic in the field of remote sensing (RS), and using convolutional neural networks (CNNs) and Transformers for CD tasks is the mainstream option ...
IEEE

Probabilistic Forecasting for Battery Health Estimation Using CNN-LSTM on Augmented Multi-Operation Data

Abstract: Ensuring the safety and reliability of electric vehicles and energy storage systems requires an effective evaluation of lithium-ion battery State of Health (SOH). Most current methods are ...
IEEE

Early Detection of Paddy Disease and Severity Based Classification Using Variants of CNN - A Step Towards Smart Agriculture

Abstract: Agriculture is the backbone of India, and in the southern region, paddy is the main crop, grown twice a year. Over the years, paddy fields have been affected by different diseases, out of ...
GitHub

hongping-zh/circular-bias-detection

Stop deploying AI models with inflated performance scores. Sleuth detects hidden bias caused by tweaking hyperparameters, prompts, or datasets during evaluation—breaking circular reasoning in AI ...