The era of predictive modeling enhanced with machine learning and artificial intelligence (AI) to aid clinical ...

The study sheds light on the widespread use of CPS in crop management, smart greenhouses, precision irrigation, livestock ...

Weather prediction systems provide critical information about dangerous storms, deadly heat waves and potential droughts, ...

CRISPR-based gene editing holds great promise, but off-target effects remain a major concern, especially across diverse ...

ZenaTech, Inc. (Nasdaq: ZENA) (FSE: 49Q) (BMV: ZENA) ("ZenaTech"), a business technology solution provider specializing in AI (Artificial Intelligence) drones, Drone as a Service (DaaS), Enterprise ...

Global solar radiation (Hg) is a foundational input for calculating evapotranspiration, crop growth, irrigation needs, and ...

US researchers are developing an AI-powered microscope system that could make soil health testing faster, cheaper, and more ...

It can decide which crops to produce and what to do in the crop’s growing season. Regardless of the distracting environment, machine learning and deep learning algorithms are utilized in crop ...

But amid all the hype, the real story that has emerged doesn’t focus on the technology itself but on the people using it.

Machine learning techniques such as Random Forests and Support Vector Regression are used, which provide more robust models than traditional linear regression models. An analysis has been undertaken ...

This paper aims to highlight key gaps and opportunities for future research, focusing on the evolving landscape of remote sensing and machine learning techniques employed to enhance predictions of ...