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, ...

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 ...

Artificial intelligence is changing the way farmers manage crops, yields and resources, but its real value lies in supporting human instinct, not replacing it. Datacentrix’s Arno Hanekom shares why AI ...

Typical Azure Machine Learning Project Lifecycle (source: Microsoft). At the upcoming Visual Studio Live! @ Microsoft HQ 2025 conference in Redmond, Eric D. Boyd, founder and CEO of responsiveX, will ...

However, traditional reflectance prediction methods often struggle to balance precision with computational efficiency, limiting material design and optimization, especially for large-scale systems.

In this paper, we propose a machine learning-based automated framework for algorithm selection and configuration for MPC applications. This framework aids the online implementation of MPC by selecting ...

AI-related applications use information such as wind speed, temperature, solar radiation, and precipitation, along with machine learning algorithms and images to forecast weather, assess crop ...