Machine Learning Approach for Prescriptive Plant Breeding von Parmley, Kyle A., Higgins, Race H., Ganapathysubramanian, Baskar, Sarkar, Soumik, Singh, Asheesh K.

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Computer vision and machine learning enabled soybean root phenotyping pipeline von Falk, Kevin G., Jubery, Talukder Z., Mirnezami, Seyed, Parmley, Kyle A., Sarkar, Soumik, Singh, Arti, Ganapathysubramanian, Baskar, Singh, Asheesh K.

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Development of Optimized Phenomic Predictors for Efficient Plant Breeding Decisions Using Phenomic-Assisted Selection in Soybean von Parmley, Kyle, Nagasubramanian, Koushik, Sarkar, Soumik, Ganapathysubramanian, Baskar, Singh, Asheesh K

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Identification and Genetic Characterization of Soybean Accessions Exhibiting Antibiosis and Antixenosis Resistance to Aphis glycines (Hemiptera: Aphididae) von Natukunda, Martha I., Parmley, Kyle A., Hohenstein, Jessica D., Assefa, Teshale, Zhang, Jiaoping, MacIntosh, Gustavo C., Singh, Asheesh K.

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Comparative prediction accuracy of hyperspectral bands for different soybean crop variables: From leaf area to seed composition von Chiozza, Mariana V., Parmley, Kyle A., Higgins, Race H., Singh, Asheesh K., Miguez, Fernando E.

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Changes in the leaf area-seed yield relationship in soybean driven by genetic, management and environments: implications for high-throughput phenotyping von Chiozza, Mariana V, Parmley, Kyle, Schapaugh, William T, Asebedo, Antonio R, Singh, Asheesh K, Miguez, Fernando E

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Deploying Fourier Coefficients to Unravel Soybean Canopy Diversity von Jubery, Talukder Z, Shook, Johnathon, Parmley, Kyle, Zhang, Jiaoping, Naik, Hsiang S, Higgins, Race, Sarkar, Soumik, Singh, Arti, Singh, Asheesh K, Ganapathysubramanian, Baskar

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MOESM1 of Computer vision and machine learning enabled soybean root phenotyping pipeline von Falk, Kevin, Talukder Z. Jubery, Mirnezami, Seyed V., Parmley, Kyle, Soumik Sarkar, Singh, Arti, Baskar Ganapathysubramanian, Asheesh Singh

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MOESM5 of Computer vision and machine learning enabled soybean root phenotyping pipeline von Falk, Kevin, Talukder Z. Jubery, Mirnezami, Seyed V., Parmley, Kyle, Soumik Sarkar, Singh, Arti, Baskar Ganapathysubramanian, Asheesh Singh

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MOESM4 of Computer vision and machine learning enabled soybean root phenotyping pipeline von Falk, Kevin, Talukder Z. Jubery, Mirnezami, Seyed V., Parmley, Kyle, Soumik Sarkar, Singh, Arti, Baskar Ganapathysubramanian, Asheesh Singh

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MOESM2 of Computer vision and machine learning enabled soybean root phenotyping pipeline von Falk, Kevin, Talukder Z. Jubery, Mirnezami, Seyed V., Parmley, Kyle, Soumik Sarkar, Singh, Arti, Baskar Ganapathysubramanian, Asheesh Singh

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METHODS AND SYSTEMS FOR USE IN PROCESSING IMAGES RELATED TO CROPS von DUTTA, Bhaskar, PARMLEY, Kyle, BRAUER, Robert, HASAN, Mohammad Alfi

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METHODS AND SYSTEMS FOR USE IN PROCESSING IMAGES RELATED TO CROPS von DUTTA, Bhaskar, PARMLEY, Kyle, BRAUER, Robert, HASAN, Mohammad Alfi

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METHODS AND SYSTEMS FOR USE IN PROCESSING IMAGES RELATED TO CROPS von BRAUER, ROBERT, DUTTA, BHASKAR, HASAN, MOHAMMAD ALFI, PARMLEY, KYLE

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METHODS AND SYSTEMS FOR USE IN PROCESSING IMAGES RELATED TO CROPS von DUTTA, Bhaskar, PARMLEY, Kyle, BRAUER, Robert, HASAN, Mohammad Alfi

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METHODS AND SYSTEMS FOR USE IN PROCESSING IMAGES RELATED TO CROP PHENOLOGY von BALDWIN, Steven, PARMLEY, Kyle, PISUPATI, Venkata Soumya, BRAUER, Robert, HASAN, Mohammad Alfi

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METHODS AND SYSTEMS FOR USE IN PROCESSING IMAGES RELATED TO CROP PHENOLOGY von BALDWIN, Steven, PARMLEY, Kyle, PISUPATI, Venkata Soumya, BRAUER, Robert, HASAN, Mohammad Alfi

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Lung tumor in a young African American patient with sickle trait: Pieces of a puzzle von Mir, Mariam, Parmley, Michelle, Molberg, Kyle, Hinson, Stacy, Thibodeaux, Joel, Lucas, Elena

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Monitoring organ donors to improve transplantation results (monitor) trial methodology von Al-Khafaji, Ali, Murugan, Raghavan, Wahed, Abdus S., Lebovitz, Daniel J., Souter, Michael J., Kellum, John A.

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