首页|New Machine Learning Findings from Norwegian University of Life Sciences Reporte d (Enhancing Phenotyping Efficiency In Faba Bean Breeding: Integrating Uav Imagi ng and Machine Learning)
New Machine Learning Findings from Norwegian University of Life Sciences Reporte d (Enhancing Phenotyping Efficiency In Faba Bean Breeding: Integrating Uav Imagi ng and Machine Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in Machine Learning. According to news originating from As, Norway, by NewsRx corre spondents, research stated, “Unmanned aerial vehicles (UAVs) equipped with high- resolution imaging sensors have shown great potential for plant phenotyping in a gricultural research. This study aimed to explore the potential of UAV-derived r ed-green-blue (RGB) and multispectral imaging data for estimating classical phen otyping measures such as plant height and predicting yield and chlorophyll conte nt (indicated by SPAD values) in a field trial of 38 faba bean (Vicia faba L.) c ultivars grown at four replicates in south-eastern Norway.”
AsNorwayEuropeCyborgsEmerging Te chnologiesMachine LearningNorwegian University of Life Sciences
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