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Quantifying cereal crop movement through hemispherical video analysis of agricultural plots.

Alexander Q SuskoPeter MarchettoD Jo HeuscheleKevin P Smith
Published in: Plant methods (2019)
This method is sensitive enough to systematically differentiate small frequency and amplitude differences in cultivar movement, and shows promise for investigating the physiological basis for differences in cereal movement and lodging resistance. The relative accuracy of the plot demarcation protocol suggests it could be used for other high-throughput phenotyping applications that require both high image resolution and a large field of view.
Keyphrases
  • high throughput
  • climate change
  • randomized controlled trial
  • risk assessment
  • heavy metals
  • single cell
  • deep learning
  • machine learning