Agriculture faces the urgent challenge of accurately predicting crop yields, particularly under the pressures of climate ...

A recent study introduces a groundbreaking method for early crop identification, leveraging the Bayesian Probability Update ...

As agricultural research continues to become more entwined with technology, smart farming—a phrase that encompasses research ...

Imagine you’re a farmer, and you’re planning what to grow this season. You may want to know what crop would be most valuable to grow. If you’re a policymaker, you might want to know if there would be ...

Published (DOI: 10.34133/remotesensing.0439) in Journal of Remote Sensing on March 6, 2025, the Unsupervised Domain Adaptation method based on the Climate Indicator Discrepancy (ClimID-UDA) method ...

Spearheaded by Texas A&M AgriLife Research, this cutting-edge approach combines remote sensing, big data and artificial intelligence to simulate and predict real-world crop production scenarios.

The system, developed by the China Meteorological Administration, is designed to protect key crops such as winter wheat and ...

Accurate crop yield prediction is critical for global food security, economic planning, and insurance modeling. Traditional ...

Smart breeding took center stage at the 2025 Seed Congress and Nanfan Agricultural Silicon Valley Forum, which was held from ...

The geospatial solution market is set for significant growth, driven by advancements in data analysis, mapping, and ...

Environmental remote sensing is a crucial method for observing the impacts of climate change. In his doctoral thesis master ...