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Carol Smathers
https://extension.osu.edu/node/4713
program coordinator, Children, Youth, and Families at Risk (CYFAR) project based in Ohio 4-H; high school ...
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Carol Smathers
https://extension.osu.edu/node/4712
program coordinator, Children, Youth, and Families at Risk (CYFAR) project based in Ohio 4-H; high school ...
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Jason Hartschuh
https://extension.osu.edu/node/4708
livestock facility ventilation, dairy calf and heifer care, and bridging connections between livestock ... nutritionists and agronomists to help produce high-quality, low-cost feeds Academic Connections College of Food, ...
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Asmita Murumkar
https://extension.osu.edu/node/4700
Marathwada Krishi (Agricultural) Vidyapeeth (University), Parbhani, India; Master’s in technology, Soil and ... Institute of Technology, Roorkee, India Specialization/Focus Area Carbon research/markets, soil carbon, soil ...
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Greg Labarge
https://extension.osu.edu/node/4696
and Natural Resources Extension educator; county Extension director Specialization/Focus Area Soils ... , and soil fertility, insect/disease management, corn, soybean, and wheat production, precision ...
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USDA to Host SLF Research and Technology Development Meeting – Oct. 16-17
current SLF research, review current areas of research and define high-risk, high-return projects, and ...
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Nicole Arnold
https://extension.osu.edu/node/4707
interventions, risk communication, and food preservation Academic Connections Department of Food, Bioprocessing ...
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Schott gains firsthand experience during internship at CNH
https://fabe.osu.edu/news/schott-gains-firsthand-experience-during-internship-cnh
real-world situations. They ranged from field data analysis to preparing high-level presentations, giving him ... employees.” Schott’s internship experience comes amid a broader partnership between CNH and Ohio State ...
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Eric Richer
https://extension.osu.edu/node/4705
resources in Fulton County, OSU Extension; agricultural education instructor, Wauseon High School ...
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Cross and Drewry publish article on remote diagnosis of wheat stripe rust progression
high-throughput classification of WSR severity. Utilizing random forest models based on leaf-level and ... canopy-level hyperspectral data, researchers achieved classification accuracies of 45-52%, which improved to ... 79-96% with off-by-one scoring. The canopy-level model outperformed the leaf-level models, highlighting ...