This study presents a solar-powered robot integrating AI and IoT for real-time plant disease detection, offering a scalable solution for sustainable farming.

The PlantIF framework consists of image and text feature extractors, semantic space encoders, and a multimodal feature fusion module. Image and text feature extractors are used to present visual and ...

Nearly four decades ago, Francis Young, chief administrative law judge at the Drug Enforcement Administration (DEA), concluded that marijuana did not belong in Schedule I of the Controlled Substances ...

This project uses deep learning to automatically detect plant diseases from leaf images. The model leverages Convolutional Neural Networks (CNNs) and Transfer Learning (MobileNetV2) for accurate and ...

Luis Palomino, a chemical and nano engineering Ph.D. candidate at the UC San Diego Jacobs School of Engineering and co-first author of the study, sprays an antibacterial polymer coating onto the ...

The final, formatted version of the article will be published soon. Plant diseases remain a significant challenge in global agricultural production. Achieving efficient and accurate disease detection ...

The diet featured in the study included walnuts, black beans, red bell peppers, sweet potatoes, blueberries, Brussels sprouts, and lemons - Media Credit: Adobe Stock Share A new study has found that ...

Note: This is the third of a four-part series on biochar. You can find the first two parts of the series here. Have you ever checked your plants and found brown/yellow/white, soft tissue spots either ...

(Reuters) -Multiple people are dead and several others are unaccounted for after a blast in Tennessee at a military explosives company, CNN and other media outlets reported on Friday, citing local ...

Introduction: Plant diseases pose a significant threat to global food security and agricultural productivity, making accurate and timely disease identification essential for effective crop management ...

A Machine Learning project for Plant Disease Prediction using Random Forest, Streamlit, and Google Colab. Includes interactive UI and detailed analysis.