UAV-based high-throughput phenotyping to discriminate barley vigour with visible and near-infrared vegetation indices

@inproceedings{Gennaro2018UAVbasedHP,
  title={UAV-based high-throughput phenotyping to discriminate barley vigour with visible and near-infrared vegetation indices},
  author={Salvatore Filippo Di Gennaro and Fulvia Rizza and Franz Badeck and Andrea Berton and Stefano Delbono and Beniamino Gioli and Piero Toscano and Alessandro Zaldei and Alessandro Matese},
  year={2018}
}
ABSTRACTIn the context of plant breeding, high-throughput phenotyping is an assessment of plant phenotypes on a scale and with a level of speed and precision not achievable with traditional methods, through the application of emerging technologies such as automation and robotics, new sensors, and imaging technologies (hardware and software). In the present work, high-resolution digital images have been acquired with an unmanned aerial vehicle (UAV) prototype platform on an experimental… CONTINUE READING