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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

Article DOI: 10.3791/58695-v • 11:49 min • February 2nd, 2019
February 2nd, 2019 •
1,2,3, 1,2, 1,2, 1,2, 1,2, 4, 5, 6, 1,2, 1,2, 1,2
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

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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 Counting Field Conditions Zenithal RGB Images Wheat Ears Barley Ears Remote Sensing Proximal Sensing Field High-throughput Phenotyping Yield Components Ear Density Grain Per Ear Thousand Kernel Weight Automatic Counting Image Analysis Crop Growth Stage Satellite Images Laplacian Frequency Filter Image Segmentation Machine Learning Validation
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