For decades, soil management has relied on sparse field sampling and averaged recommendations. While effective in relatively uniform landscapes, this approach breaks down in real-world fields where ...

Emory environmentals scientist combined field-level data with machine-learning techniques to estimate soil organic carbon at the U.S. scale, another step toward providing more accurate baseline data ...

EarthOptics is merging with data analytics and predictive modeling firm Pattern Ag. Executives at the newly-formed venture feel the combined company will be better positioned to offer enhanced soil ...

AMES, Iowa – The satellite images are full of red warnings: Miles and miles of bright red along the Louisiana coast; boiling reds covering most of Florida’s Lake Okeechobee. The images show harmful ...

It comes as no surprise to architects and engineers that clay-rich soils which retain lots of moisture are unstable. Clay soils have a water-holding capacity of about 1.35-2.5 in. of water per foot of ...

Artificial intelligence (AI) and machine learning (ML) are revolutionizing the way we understand and predict soil processes. Yet, while data-driven models ...

A new study led by Prof. Duan Weili from the Xinjiang Institute of Ecology and Geography (XIEG) of the Chinese Academy of Sciences emphasizes the importance of selecting appropriate datasets for ...

Follow these steps to determine what is the percentage of area of your property that falls into each Hydrologic Soils Group. If you are struggling with this section, you can use the deafult values ...

Soils all over the Earth's surface are rigorously tested and managed. But what about soils that are down in the murky depths? Some scientists are working to get them the recognition and research they ...

A centuries-old concept in soil science has recently been thrown out. Yet it remains a key ingredient in everything from climate models to advanced carbon-capture projects. The hope was that the soil ...