Satellites and AI can help tackle critical invasive species problem

Satellite imagery and artificial intelligence can detect with high accuracy two invasive weed species in Australia, posing a ...
Analytics Insight

AI-Powered Pest and Disease Detection in Farming

Overview AI systems use sensors and computer vision to detect pests and diseases early, reducing crop damage and yield losses.Real-time data analysis helps farm ...
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

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 ...
Frontiers

Advanced hyperspectral image processing and machine learning approaches for early detection of wheat stem rust

1 Peter the Great St. Petersburg Polytechnic University, Saint Petersburg, Russia 2 All-Russian Institute of Plant Protection, Saint Petersburg, Russia However, despite rapid methodological advances, ...
Frontiers

Multiscale CNN-state space model with feature fusion for crop disease detection from UAV imagery

Accurate detection of crop diseases from unmanned aerial vehicle (UAV) imagery is critical for precision agriculture. This task remains challenging due to the complex backgrounds, variable scales of ...
IEEE

Plant Disease Prediction Using Feature Selection Based Multilayered ANN with Genetic Algorithm

Abstract: This paper introduces a novel method for detecting plant diseases by combining a multilayer Artificial Neural Network (ANN) with a feature selection technique based on Genetic Algorithms (GA ...
IEEE

Leaf Images Assisted Potato Plant Disease Detection Using Deep-Learning with Features Fusion

Abstract: Plant condition monitoring is one of the necessary tasks in the agriculture to confirm the yield. Recent agricultural monitoring procedures employed computerised-algorithms to automate ...