Food Crisis in Nigeria: The Machine Learning Prospect. Nigeria despite its arable land and young populations faces a severe food crisis and while this may have been a culmination of several years of ...

Supercomputers and artificial intelligence aren't typically thought to go with animal science, but they are among the tools for a relatively new field of science called bioinformatics that can be used ...

Learn how the LaserWeeder’s advanced computer vision system and AI deep learning models promote sustainable agricultural practices while differentiating weeds from crops in real-time. In this second ...

AI-driven platforms increasingly assist farmers in choosing when to plant, irrigate, fertilize, or harvest. These systems ...

The transformation is documented in the study A Review of Drones in Smart Agriculture: Issues, Models, Trends, and Challenges ...

The "Global AI In Agriculture Market Size By Technology, By Offering, By Application, By Geographic Scope And Forecast" report has been published by Verified Market Research®. The report provides an ...

This review shows that machine learning enables early disease diagnosis, automates selective tea-bud harvesting, evaluates sensory quality using multi-sensor fusion, and predicts yields with higher ...

“Drought is different during spring versus summer versus fall. There’s so much data that we can have available to us, and so ...

India’s agricultural sector is the backbone of its economy, employing nearly half the workforce and ensuring food security and rural livelihoods. Yet it faces mounting challenges—from climate change ...

EQT Foundation has invested in UK-based Biographica as part of its seed round, supporting the company’s machine learning platform for faster and more accurate crop gene discovery. Biographica’s ...