Uav remote sensing for high-throughput phenotyping and for yield prediction of miscanthus by machine learning techniques

HIGHLIGHTS

• who: Giorgio Impollonia et al. from the Department of Sustainable Crop Production, Universitu00e0 Cattolica del Sacro Cuore, Piacenza, ItalyInstitute of Biological, Environmental and Rural Sciences (IBERS), Aberystwyth University have published the article: UAV Remote Sensing for High-Throughput Phenotyping and for Yield Prediction of Miscanthus by Machine Learning Techniques, in the Journal: (JOURNAL) of 02/02/2021
• what: Yield is one of the most important traits of Miscanthus and has been the primary focus of the research portfolio on Miscanthus in the last ten years . This work considers all potential parameter combinations for LUT generation . . .
  

   

  

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