Imagine trying to tell identical twins apart just by looking at their fingerprints. That’s how challenging it can be for scientists to distinguish the tiny powdery pollen grains produced by fir, spruce and pine trees. But a new artificial intelligence system developed by researchers at The University of Texas at Arlington, the University of Nevada and Virginia Tech is making that task a lot easier—and potentially bringing big relief to allergy sufferers.

Corn, or maize, is a major crop in the United States, and its derivatives are utilized in practically every facet of our lives. Demand for it grows, even as unpredictable environmental conditions make it difficult for farmers to maintain their current yield. In work recently published in the journal In Vitro Cellular & Developmental Biology – Plant, labs from the Boyce Thompson Institute (BTI) and Iowa State University (ISU) partnered with scientists from Corteva Agriscience to establish a more accessible method for maize bioengineering that will pave the way for improving this critical crop.

MIT researchers showed they can inexpensively nanomanufacture silk microneedles to precisely fortify crops, monitor plant health, and detect soil toxins.

Forests play a crucial role in mitigating climate change by acting as carbon sinks. However, accurately tracking the carbon dynamics of forests, especially in rapidly urbanizing regions, remains a challenge. A recent study published in Forest Ecosystems offers new insights into the carbon effects of continuous forest change in China’s Yangtze River Delta (YRD) from 2000 to 2020, using advanced monitoring techniques.