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NTIS 바로가기IT professional, v.22 no.3, 2020년, pp.16 - 21
Peters, Debra P. C. (USDA Agricultural Research Service) , Rivers, Adam (USDA Agricultural Research Service) , Hatfield, Jerry L. (USDA Agricultural Research Service) , Lemay, Danielle G. (USDA Agricultural Research Service) , Liu, Simon (USDA Agricultural Research Service) , Basso, Bruno (Michigan State University)
We provide an overview of the Special Issue on current advances, challenges, and opportunities for AI technologies in agriculture. We illustrate the potential of AI using four major components of the food system: production, distribution, consumption, and uncertainty. We recognize that the transform...
Hatfield, Jerry L., Cryder, Michelle, Basso, Bruno. Remote Sensing: Advancing the Science and the Applications to Transform Agriculture. IT professional, vol.22, no.3, 42-45.
Peters, Debra P. C., Savoy, Heather M., Ramirez, Geovany A., Huang, Haitao. AI Recommender System With ML for Agricultural Research. IT professional, vol.22, no.3, 30-32.
Multi-modal AI to improve agriculture parr 0
Ramos-Giraldo, Paula, Reberg-Horton, Chris, Locke, Anna M., Mirsky, Steven, Lobaton, Edgar. Drought Stress Detection Using Low-Cost Computer Vision Systems and Machine Learning Techniques. IT professional, vol.22, no.3, 27-29.
Bestelmeyer, Brandon T., Marcillo, Guillermo, McCord, Sarah E., Mirsky, Steven, Moglen, Glenn, Neven, Lisa G., Peters, Debra, Sohoulande, Clement, Wakie, Tewodros. Scaling Up Agricultural Research With Artificial Intelligence. IT professional, vol.22, no.3, 33-38.
Scientific Rept Yield stability analysis reveals sources of large-scale nitrogen loss from the US Midwest basso 2019 9
Penning, Bryan W., Snelling, Warren M., Woodward-Greene, M. Jennifer. Machine Learning in the Assessment of Meat Quality. IT professional, vol.22, no.3, 39-41.
Developing multi-scale early warning strategies for vector-borne disease using big data-model integration and machine learning peters 0
2019
Langley, Gayle, Besser, John, Iwamoto, Martha, Lessa, Fernanda C., Cronquist, Alicia, Skoff, Tami H., Chaves, Sandra, Boxrud, Dave, Pinner, Robert W., Harrison, Lee H.. Effect of Culture-Independent Diagnostic Tests on Future Emerging Infections Program Surveillance. Emerging infectious diseases, vol.21, no.9, 1582-1588.
Sudduth, Kenneth A., Woodward-Greene, M. Jennifer, Penning, Bryan W., Locke, Martin A., Rivers, Adam R., Veum, Kristen S.. AI Down on the Farm. IT professional, vol.22, no.3, 22-26.
Hatfield, Jerry L., Walthall, Charles L.. Meeting Global Food Needs: Realizing the Potential via Genetics × Environment × Management Interactions. Agronomy journal, vol.107, no.4, 1215-1226.
Zeevi, D., Korem, T., Zmora, N., Israeli, D., Rothschild, D., Weinberger, A., Ben-Yacov, O., Lador, D., Avnit-Sagi, T., Lotan-Pompan, M., Suez, J., Mahdi, J.A., Matot, E., Malka, G., Kosower, N., Rein, M., Zilberman-Schapira, G., Dohnalova, L., Pevsner-Fischer, M., Bikovsky, R., Halpern, Z., Elinav, E., Segal, E.. Personalized Nutrition by Prediction of Glycemic Responses. Cell, vol.163, no.5, 1079-1094.
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