Technology

Eggs and poultry provide important sources of protein globally, driving a major industry with large economic impacts. Challenges to hatchery operations include embryo mortality, fertility, sex determination, and eggshell characteristics. These features have a substantial impact on production, but they are difficult and time-consuming to estimate.

Conservation tillage practices, such as no-till and reduced till, are critical for sustainable agriculture, and they are gradually becoming popular with farmers across the Midwest. Monitoring tillage usage can provide insights into soil health, water levels, and nutrient loss, as well as guide management and policy decisions. 

Fried foods are popular with consumers, but their high fat content can contribute to health challenges like obesity and hypertension. If the food industry can offer lower-fat options of similar quality, people can more easily make health-conscious food choices.

Agricultural producers and manufacturers often need information about crop attributes, from nutrient content to chemical composition, to make management decisions. In recent years, multispectral imaging has emerged as a useful tool for product analysis, but the required equipment is expensive. Standard RGB cameras are much more affordable, but their images show only visible attributes.

Airplane travel is more popular than ever, and our desire for fast transportation means jet fuel has become a major contributor to greenhouse gas emissions.

Last week, members of the National Security Commission on Emerging Biotechnology joined U.S. Senator Tammy Duckworth in her home state to explore Illinois’ role in strengthening national security and developing greater economic resilience through biotechnology innovation, entrepreneurship, and biomanufacturing.  

In collaboration with other Bioenergy Research Centers (BRCs), researchers at the Center for Advanced Bioenergy and Bioproducts Innovation (CABBI) are developing industrially feasible techniques for second-generation biofuel production from oilcane, an oil-rich variety of sugarcane, to help meet our growing societal demand for fuels.

Determining, analyzing, or predicting how crops will grow in the field takes time and labor. The interactions between genetics, environment and agricultural practices are challenging to measure. The newly published results of a five-year study on maize (or corn) demonstrate that autonomous ground robots can accurately and reliably capture this information.

Scientists developed a machine-learning tool that can teach itself, with minimal external guidance, to differentiate between aerial images of flowering and nonflowering grasses — an advance that will greatly increase the pace of agricultural field research, they say. The work was conducted using images of thousands of varieties of Miscanthus grasses, each of which has its own flowering traits and timing.

Nanozymes are synthetic materials that have enzyme-like catalytic properties, and they are broadly used for biomedical purposes, such as disease diagnostics. However, inorganic nanozymes are generally toxic, expensive, and complicated to produce, making them unsuitable for the agricultural and food industries.