Tomato industry taking steps to stop spread of parasitic weed

California's processing tomato industry for the first time this past harvest season, agreed to voluntary equipment cleaning ...
IEEE

Design and Implementation of Regional Identification Algorithm for Highway Pavement Diseases Based on UAV Vision and CNN

With the continuous expansion of highway networks in recent years, the monitoring and repair of road diseases have become one of the important tasks in traffic management. Traditional manual ...
IEEE

Hybrid Deep Learning Pipeline with CNN-Based Feature Embeddings and Dimensionality Reduction for Plant Disease Detection

Abstract: Plant leaf diseases, particularly potato diseases, are a major cause of concern for agricultural productivity and food security. Traditional methods of ...
IEEE

Early Detection of Plant Diseases Using IoT Sensors and Machine Learning Algorithms

Abstract: Agriculture is one of the most important and necessitates of the world. This paper is a study to detect plant diseases using IoT sensors and ML Algorithms for early detection of plant ...
News Medical

New algorithm enables precise subtyping of metabolic liver disease

Metabolic-associated steatotic liver disease (MASLD) is a clinically heterogeneous condition with highly variable outcomes affecting more than 30% individuals globally. The disease is conventionally ...
Frontiers

Converging technologies for next-generation plant protection: an integrated framework for fungal disease management

Contemporary agriculture is facing an escalating crisis caused by fungal pathogens. Soil-borne and vascular fungi, such as Verticillium and Fusarium species, are becoming more destructive under ...
IEEE

Rice Leaf Disease Detection Using YOLOv8 Algorithm

Abstract: Utilizing state-of-the-art deep learning techniques for intelligent farming is the aim of the YOLOv8 Algorithm. The rapid advancement of AI technologies has made precision farming essential ...
IEEE

Multi Disease Identification in Tomato Plant using CNN and SVM

Abstract: Tomato is a major trade crop; it is among the most widely consumed crops in daily life. Crop diseases reduce not only the quality of the crops but also their amount of production, thus, ...
IEEE

Multi-Crop Plant Disease Detection using PlantDoc

We present a deep-learning approach for detecting diseases across multiple crop types using the PlantDoc dataset. Our method combines a classification network and an object detection network to ...
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 ...