Developing spectral signatures for grain quality and crop phenotyping. Presented at the CENSIS Vision Lab and SRUC Showcase. : Imaging systems and IoT technologies for precision agriculture applications

Hoad, S. (Speaker)

Activity: Talk or presentation typesInvited talk

Description

Summary
Crop and grain signatures using multi and hyper spectral imaging and machine (deep) learning in order to: (1) Working at field and lab scale. (2) Phenotype crop plants e.g. winter wheat. (3) Characterise plant and seed health. (4) Create a new generation of analytical services and consultancy. (5) Advances in crop breeding.
Period9 Oct 2019
Event titleCENSIS Vision Lab and SRUC Showcase. : Imaging systems and IoT technologies for precision agriculture applications
Event typeWorkshop
LocationEdinburgh, United Kingdom
Degree of RecognitionNational

Keywords

  • Spectral Sensing
  • Remote Sensing
  • Smart Farming
  • Grain Assessment
  • Advanced Technology
  • Machine Learning
  • Imaging
  • BBSRC
  • SARIC
  • ATEC
  • Grain Skinning
  • Field Evaluation
  • Phenotying
  • Laboratory
  • Camera