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of agricultural water use. Specific focus areas include applying AI/ML to analyze remote sensing and sensor data for predicting crop water requirements, advancing irrigation scheduling, and supporting real-time
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data, algorithms, and models will be obtained from government, university, and industry sources, including other Blackland/Grassland team members and their collaborators nationwide and worldwide
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emissions and soil health parameters. Results will be published in peer-reviewed journals and technical reports, and algorithms and models will be shared with stakeholders and the scientific and forest
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create the first phosphatidylethanolamine (PE) sensor. We predict this will be a transformative innovation that will contribute to many scientific fields. The Wehman lab uses genetic and imaging approaches
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, and precision livestock farming techniques (sensor technologies for dairy cows). Because this project is in conjunction with bison producers in the Northern Great Plains (North and South Dakota, Montana
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protected and open field cultivation systems Use lab and field equipment (ICP, HPLC, gas exchange analyzer, soil/root/plant sensors, chlorophyll fluorescence, etc.), data loggers and image processing tools