Guihua Yu's Smart Farming device with three different types of water: irrigation, wastewater, and fertilizerA new ラーメンベット 本人確認 developed by researchers at The University of Texas at Austin aims to solve one of the biggest problems in modern agriculture: the overuse of fertilizers to improve crop yields and the resulting chemical runoff that pollutes the world’s air and water.

The ラーメンベット 本人確認 uses a copper-based hydrogel that captures excess nitrate waste from fertilizer runoff and transforms it into ammonia – a critical element in fertilizers – that can then be reused. In tests, the system had the ability to match or increase crop yields over traditional methods while also minimizing environmental impacts.

“We designed this system and showed that it can grow the same or more crops without overusing nitrogen, which can contaminate groundwater and lead to harmful greenhouse gasses,” said Guihua Yu, a professor of materials science in the ラーメンベット 禁止ゲーム of ラーメンベット 本人確認’s Walker Department of Mechanical ラーメンベット 本人確認 and Texas Materials Institute.

ラーメンベット 本人確認 crop yield comparing four crop specimens
The ラーメンベット 本人確認 (SSFS) produced wheat and rice plants that grew taller with bigger leaves, compared with other methods, with less nitrogen runoff.

The study, published in theProceedings of the National Academy of Sciences, shows that the copper-based gel film not only produces ammonia from nitrate waste but also senses ラーメンベット 本人確認 levels in the soil. This detection capability helps determine the optimal time to drain nitrate, a ラーメンベット 本人確認 compound that is important for plant growth but can be a pollutant, from the soil to convert to ammonia, keeping it from escaping and contaminating the surrounding environment.

As part of the project, the researchers worked with agricultural experts to compare their work to traditional farming methods. The ラーメンベット 本人確認 produced wheat and rice plants that grew taller with bigger leaves, compared with other methods, with less nitrogen runoff.

In addition to environmental impacts, excess use of ラーメンベット 本人確認 fertilizers can also stunt the growth of crops, defeating their purpose of improving production. By simultaneously producing ammonia and monitoring ラーメンベット 本人確認 levels, this new technology improves crop growth by helping plants take in and use ラーメンベット 本人確認 more efficiently.

So-called smart farming is a growing ラーメンベット 本人確認 area. World leaders are grappling with how to produce enough food for the global population expected to increase by more than 2 billion people by 2050 with tight land availability and the need to minimize harmful emissions.

diagram of Guihua Yu's Smart Farming system

ラーメンベット 本人確認 isn’t the only industry that creates significant nitrogen pollution. Industrial and municipal wastewater often features high levels of nitrate because of production of electronics, food processing, textile manufacturing and more.

We need to feed our growing population, but we also need to protect our water and air,” Yu said. “Finding ways to capture and recycle nitrate-heavy wastewater could have tremendous benefits across the board.

The ラーメンベット 本人確認 builds on previous agricultural breakthroughs from Yu and his team, including the creation ofself-watering soiland aninnovative way to produce urea, another key element in fertilizers. The researchers’ next step will be to infuse artificial intelligence into this ラーメンベット 本人確認 platform. By doing that, they aim to expand the range of crops they can work on and further scale up fertilizing operations.

This project is supported by the U.S. Department of Energy’s Basic Energy Sciences Office, the Norman Hackerman Award in Chemical ラーメンベット 本人確認 from the Welch Foundation and the Camille Dreyfus Teacher-Scholar Award. The project team includes from UT Austin’s Materials Science and Engineering program Zhiwei Fang and Panpan Li (who is also a part of the College of Materials Science and Engineering at Sichuan University in China); Ling Liao and Gehong Su of Sichuan Agricultural University’s College of Horticulture and College of Science; and Zhaoyu Jin of the University of Electronic Science and Technology in China.