For decades, Ruihong Zhang, a professor in the Department of Biological and Agricultural Engineering has been studying biological conversion of food waste to explore solutions that could address environmental challenges. Her recent research on biodegradable plastics using dairy byproducts may reduce the global level of plastic pollution.
Artificial intelligence could be a valuable tool for the future of food safety. New research out of the University of California, Davis, finds that a technique using AI and optical imaging can quickly and accurately identify bacteria in food, making it a promising approach for preventing foodborne outbreaks and illnesses.
Post-harvest losses are common in the global food and agricultural industry. Research shows that storage grain pests can cause serious post-harvest losses, almost 9% in developed countries to 20% or more in developing countries. To address this problem, Zhongli Pan, an adjunct professor in the Department of Biological and Agricultural Engineering, has developed a potential solution.
A solution to world hunger might start with boba and caviar.
Using an innovative process, engineers at UC Davis are growing “myco-foods” — small balls of edible fungi that can be processed into products like boba and lab-grown caviar with a wide range of textures, colors and flavors. These myco-foods, grown from the nutrients of agricultural byproducts like coffee grounds and almond hulls, provide an important new source of protein to feed the world.
Isaya Kisekka, associate professor in the Department of Land, Air and Water Resources and in the Department of Biological and Agricultural Engineering, is the recipient of the 2020 Excellence in Education Award from the Irrigation Association (IA). The award recognizes a person who teaches irrigation, water management and/or water conservation at a two- or four-year institution.
From creating fragile crop harvest-aiding mobile robots (FRAIL-bots) for strawberry harvesting to developing an automated robotic orchard platform designed to optimize fruit pickers’ performance, Stavros Vougioukas is addressing agricultural challenges and making an impact on California agriculture.
In fresh market fruit production, harvesting is one of the most labor-intensive operations, incurring high cost and dependence on a large seasonal semi-skilled workforce, which is becoming less available.
Big data is all around us –– even in the wine we drink. UC Davis’ Smart Farm Big Idea is tackling how to take some of this vast trove of information and synthesize it for the benefit of agriculture.
Mason Earles, assistant professor in the Department of Viticulture and Enology and the Department of Biological and Agricultural Engineering, is applying big data by merging agricultural and machine learning to glean information that improves vineyards’ health and yields.
As the climate changes, farmers need new, high-tech tools to precisely measure resource use and predict yield so they can produce crops with less water, fertilizer and pesticide. New BAE assistant professor Mason Earles is bringing expertise in artificial intelligence (AI) to this new era of agriculture by developing algorithms to help farmers better and more efficiently grow, treat and harvest their crops.
(Originally published in Ag Alert and courtesy of the California Farm Bureau Federation)
A researcher from the University of California, Davis, is seeking to commercialize equipment that could be used as an early warning device to detect a deadly disease in citrus long before trees show signs of infection.