Dar es Salaam. A locally developed mobile application, kilimoAI, is assisting smallholder farmers in Tanzania by enabling early detection of crop pests and diseases.This tool addresses a longstanding ...

A research team has developed a new model, PlantIF, that addresses one of the most pressing challenges in agriculture: the ...

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 ...

AI-powered plant disease detection system using deep learning. Upload plant images to instantly identify 30+ diseases across Apple, Corn, Grape, Potato, Tomato & more crops. Built with FastAPI + React ...

Al-based plant disease detection system using deep learning, providing real-time identification and remedy suggestions for crop health management. AI-powered plant disease detection system using deep ...

1 Shandong Facility Horticulture Bioengineering Research Center, Weifang University of Science and Technology, Weifang, China 2 Department of Computer Engineering, Dongseo University, Busan, Republic ...

The Apple Watch is on the wrist of millions of users across the world. Over the years, Apple has developed algorithms that collect data from the integrated PPG sensor to sense irregular heart rhythms ...

Abstract: This study focuses on the early and accurate detection of tomato plant diseases using the lightweight and efficient deep learning model YOLOv11n. Early identification of plant diseases is ...

ABSTRACT: Timely and accurate detection of plant diseases is essential for improving crop yields and ensuring food security, particularly in regions like Cameroon, where farmers often rely on visual ...

1 Ambam Computer Science and Application Laboratory & Department of Computer Engineering, Higher Institute of Transport, Logistics and Commerce, University of Ebolowa, Ebolowa, Cameroon. 2 Institut ...