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Cereal Crop Ear Counting in Field Conditions Using Zenithal RGB Images
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Cereal Crop Ear Counting in Field Conditions Using Zenithal RGB Images

Cereal Crop Ear Counting in Field Conditions Using Zenithal RGB Images

DOI:
10.3791/58695-v

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11:49 min

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February 02, 2019

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, , , , , , , , , ,
1Plant Physiology Section, Faculty of Biology,University of Barcelona, 2Agrotecnio, 3Programa de Ingeniería Electrónica, Facultad de Ingeniería,Universidad de Ibagué, 4Instituto Tecnológico Agrario de Castilla y León (ITACyL), 5Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA), 6Syngenta Spain

Chapters

  • 00:01Title
  • 02:27Image Protocol
  • 07:05Results
  • 07:43Conclusion

Summary

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We present a protocol for counting durum wheat and barley ears, using natural color (RGB) digital photographs taken in natural sunlight under field conditions. With minimal adjustments for camera parameters and some environmental condition limitations, the technique provides precise and consistent results across a range of growth stages.

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Keywords: Cereal Ear CountingField ConditionsZenithal RGB ImagesWheat EarsBarley EarsRemote SensingProximal SensingField High-throughput PhenotypingYield ComponentsEar DensityGrain Per EarThousand Kernel WeightAutomatic CountingImage AnalysisCrop Growth StageSatellite ImagesLaplacian Frequency FilterImage SegmentationMachine LearningValidation

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