首页|Reports from South Dakota State University Describe Recent Advances in Artificia l Intelligence (Integrating Genomics, Phenomics, and Deep Learning Improves the Predictive Ability for Fusarium Head Blight-related Traits In Winter Wheat)
Reports from South Dakota State University Describe Recent Advances in Artificia l Intelligence (Integrating Genomics, Phenomics, and Deep Learning Improves the Predictive Ability for Fusarium Head Blight-related Traits In Winter Wheat)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on Artificial Intell igence are discussed in a new report. According to news reporting out of Brookin gs, South Dakota, by NewsRx editors, research stated, “Fusarium head blight (FHB ) remains one of the most destructive diseases of wheat (Triticum aestivum L.), causing considerable losses in yield and end-use quality. Phenotyping of FHB res istance traits, Fusarium-damaged kernels (FDK), and deoxynivalenol (DON), is eit her prone to human biases or resource expensive, hindering the progress in breed ing for FHB-resistant cultivars.” Financial supporters for this research include Agricultural Research Service, Na tional Institute of Food and Agriculture.
BrookingsSouth DakotaUnited StatesNorth and Central AmericaArtificial IntelligenceEmerging TechnologiesGenet icsMachine LearningSouth Dakota State University
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