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Agriculture

New land grant research detects dicamba damage from the sky

Drones can now detect subtle soybean canopy damage from dicamba at one ten-thousandth of the herbicide’s label rate — simulating vapor drift — eight days after application.

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Climate change cuts global crop yields, even when farmers adapt

The global food system faces growing risks from climate change, even as farmers seek to adapt, according to a June 18 study in Nature.

In contrast to previous studies suggesting that warming could increase global food production, the researchers estimate that every additional degree Celsius of global warming on average will drag down the world’s ability to produce food by 120 calories per person per day, or 4.4% of current daily consumption. 

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Safeguarding soybeans: Preserving genetic diversity for a resilient future

Inside a large walk-in refrigerator on the University of Illinois Urbana-Champaign campus, thousands of envelopes hold the fate of global food security, not to mention a significant portion of the world’s economy.

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Report: ‘Future-proofing’ crops will require urgent, consistent effort

In a review in The Philosophical Transactions of the Royal Society B, Stephen Long, a professor of crop sciences and of plant biology at the University of Illinois Urbana-Champaign, describes research efforts to “future-proof” the crops that are essential to feeding a hungry world in a changing climate.

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Illinois study: Novel AI methodology improves gully erosion prediction and interpretation

Gully erosion is the most severe form of soil erosion, and it can seriously impact agricultural fields, contributing to sediment loss and nutrient runoff into waterways. Gullies can be triggered suddenly by a single heavy rainfall event, creating deep channels that are difficult to rehabilitate even with heavy machinery. Accurately predicting where gully erosion is likely to occur allows agricultural producers and land managers to target their conservation efforts more effectively.

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Breaking the phenotype bottleneck with autonomous robots

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.

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