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Validation and accuracy of phenotyping information is crucial for plant research and crop improvement. Conventional phenotypic analysis in plant relies on the assessment and characterization of vegetation constitution mainly with manual observations. But visual assessment and manual measurements can be subjective, prone to human bias, time-consuming and labour-intensive, leading to variations in interpretations and being impractical for large-scale. Due to the subjectivity in data collection, reproducibility is ...
ByKonica Minolta Sensing based in Ramsey, NEW JERSEY (USA)