The ‘AgriHub,’ Innovation Hub for Agriculture at the Indian Institute of Technology Indore, is emerging as a major centre for AI-based agricultural innovation in India. Inaugurated on January 27, 2025 ...
Cellar Insights deploys potato storage technology using wireless sensors and machine learning to cut post-harvest losses for ...
This repository contains the source code for an automated crop disease identification system developed as part of my Final Year Project (FYP). The system is designed to assist the Malaysian ...
Farmers have long fought a quiet war against the fungi that rot crops in fields and storage sheds. Each year, these diseases destroy harvests of lettuce, beans, oilseed rape, wheat, and many other ...
Crop Disease Detection using Machine Learning is a CNN-based system that identifies crop diseases from leaf images and provides preventive measures, helping farmers detect diseases early and reduce ...
Abstract: Precisely identifying crop diseases is a key to achieving high agricultural productivity as well as reduction of agricultural yield losses. Conventional practices in detection of crop ...
Abstract: Artificial Intelligence (AI) has become a vital tool for agricultural farming. AI-based image processing models utilizing different machine learning (ML) algorithms and deep learning (DL) ...
A new study shows that machine-learning models can accurately predict daily crop transpiration using direct plant measurements and environmental data. By training models on seven years of ...
Cardiovascular diseases (CVDs) are the leading cause of death worldwide, accounting for millions of deaths each year according to the World Health Organization (WHO). Early detection of these diseases ...
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