Smart food drying techniques with AI enhance product quality and efficiency

Food drying is a common process for preserving many types of food, including fruits and meat; however, drying can alter the food’s quality and nutritional value. In recent years, researchers have developed precision techniques that use optical sensors and AI to facilitate more efficient drying. A new study from the University of Illinois Urbana-Champaign discusses three emerging smart drying techniques, providing practical information for the food industry.

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A lifeline on the river: Elizabeth Bruns’ journey from survivor to steward

Elizabeth Brooks Bruns’ journey from a farm girl to a civil engineer for the U.S. Army Corps of Engineers was not without its challenges. Diagnosed with cancer at age 13, and facing several recurrences, Elizabeth had to pause her education multiple times in her teens and early twenties. “It gave me space to think about what I liked to do and took away the pressure to pick a career too quickly,” she recalls.

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A full circle journey: K.C. Ting honored with distinguished alumni award

Growing up in Taipei, K.C. Ting never anticipated that agricultural engineering would be his calling. “It took me by surprise,” he shared, recalling the entrance exam system in Taiwan that directed students to universities based on their rankings. Out of 100 options, his assignment to agricultural engineering wasn’t his top choice, yet it set the stage for a lifelong career that blended his love for engineering with agriculture.

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Scientists tackle farm nutrient pollution with sustainable, affordable designer biochar pellets

What if farmers could not only prevent excess phosphorus from polluting downstream waterways, but also recycle that nutrient as a slow-release fertilizer, all without spending a lot of money? In a first-of-its-kind field studyUniversity of Illinois Urbana-Champaign researchers show it’s possible and economical. 

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Saving lives and limbs: ACES team advocates for agricultural machine safety around the world

Using data collected on agricultural machine-related injuries in Pakistan, a team from the University of Illinois Urbana-Champaign is advocating for a safer work environment for farmers around the world.

Just two machines, the fodder cutter and the thresher, were together responsible for 79% of the agricultural machine-related injuries reported in two Pakistani provinces during 2022-2023, many of which caused amputations, according to a study that is detailed in Safety 2024

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Study combines woodchips and biochar to clean water of pharmaceuticals, nutrients

What happens to ibuprofen after it eases your throbbing headache? Like many pharmaceuticals, it can remain in an active form when our bodies flush it out. That’s a problem, because although wastewater treatment plants are good at reducing nutrient pollutants in water, they aren’t designed to remove pharmaceuticals and personal care products. So antibiotics, hormones, and other drugs are sent back into streams and onto crop fields.

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Multi-state center provides mental health support for farmers, agricultural workers

Agricultural producers and farm workers experience stressful working conditions that result in anxiety and depression at higher rates than the general population. At the same time, access to mental health care is often lacking in rural areas. In response, the USDA National Institute of Food and Agriculture funded four regional farm and ranch stress assistance networks in 2019.

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Study explores stress, social support, and mental health for men and women farmers

Agriculture is a stressful occupation, and farmers struggle with anxiety and depression at higher levels than the general population. A new study from the University of Illinois Urbana-Champaign examines differences in mental health challenges for men and women farmers, focusing on the role of social support in mitigating stress.

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New imaging technique brings us closer to simplified, low-cost agricultural quality assessment

Hyperspectral imaging is a useful technique for analyzing the chemical composition of food and agricultural products. However, it is a costly and complicated procedure, which limits its practical application. A team of University of Illinois Urbana-Champaign researchers has developed a method to reconstruct hyperspectral images from standard RGB images using deep machine learning. This technique can greatly simplify the analytical process and potentially revolutionize product assessment in the agricultural industry.

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