Machines are moving beyond single-point sensing. Multi-sensor fusion now delivers vision, ranging and inertial data. The ...

Pages Latest Report] According to a market research study published by Custom Market Insights, the demand analysis of Global Precision Forestry Market size & share revenue was valued at approximately ...

An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ...

Researchers in China are promoting a new machine-learning model built from satellite images that can offer a “lightweight and ...

The integration of bioinformatics, machine learning and multi-omics has transformed soil science, providing powerful tools to ...

Explore ISRO’s free AI and Machine Learning courses offered through IIRS and online platforms. Learn eligibility, syllabus, ...

Scientific knowledge advances through the interplay of empiricism and theory. Empirical observations of environmental ...

A research team demonstrates that hyperspectral sensing, combined with advanced artificial intelligence, can accurately estimate multiple biochemical and mineral traits in grapevine leaves at once.

Unmanned aerial vehicles (UAVs), commonly known as drones, have revolutionized spatial data collection in recent years by offering flexible, low-cost platforms for aerial imagery and remote sensing.

Abstract: Tropical rainforests are biodiversity hotspots that play a critical role in maintaining global ecological balance. However, the vastness, complexity, and inaccessibility of these ecosystems ...

Weeds pose the most persistent and costly threat to crop production in Canada, driving widespread herbicide use and accelerating the rise of herbicide-resistant species. This article explores how ...

Machine learning is transforming many scientific fields, including computational materials science. For about two decades, scientists have been using it to make accurate yet inexpensive calculations ...