New Research Points to Improved Nitrogen Management in Almond Production

Researchers at UC Davis are using drone imagery and advanced modeling to track nitrogen levels in almond orchards — a step toward more efficient farming. This approach could help growers optimize fertilizer use, protect water quality and improve sustainability in California agriculture.

Extreme Weather Accelerates Nitrate Pollution in Groundwater

Extreme weather spurred by climate change, including droughts and heavy rains, may increase the risk of nitrates from fertilizers ending up in groundwater, according to a recent study from researchers at the University of California, Davis. The study found heavy rains after a drought caused nitrates to seep 33 feet under farm fields in as little as 10 days.

Exploring Coffee's Sustainable Future with Irwin Donis-González

The biological and agricultural engineering researcher speaks with International Comunicaffe about the role of technologies like AI and sensors in revolutionizing coffee research, enhancing sustainability and addressing global challenges in coffee production and processing.

Grounds for Discovery

A UC Davis study analyzes roasting techniques to provide key insights into the acidity of coffee beans, paving the way for coffee roasters to better control the quality and flavor of their coffee.

Using Yeast to Convert Almond Hulls to Animal Feed

Yeast grown on almond hulls could be a new, sustainable route to produce high-protein animal feed from an agricultural waste product, according to research from UC Davis published Nov. 15 in PLOS One.

Parasitic Weeds Threaten Tomato Plants on California Farms

At first glance, Orobanche ramosa looks like an interesting blossoming plant, one that could add a unique flair to flower arrangements. But it’s a parasitic weed that attaches to roots, sucks out nutrients and is threatening California’s lucrative $1.5 billion processing tomato industry.

When It Comes to AI, Farmers Will Need to Strike a Balance

AI has affected numerous job markets with Goldman Sachs economists estimating that 300 million jobs across the globe could be automated by AI. However, AI is not always better, faster or cheaper with current iterations prone to mistakes or false information.