Phenotyping involves the quantitative assessment of anatomical, biochemical, and physiological plant traits. Natural growth cycles can be extremely slow, hindering experimental processes phenotyping. Deep learning offers a great deal support for automating addressing key phenotyping research issues. Machine learning-based high-throughput is potential solution to bottleneck, promising accelerate...

Abstract Key message The lack of efficient phenotyping capacities has been recognized as a bottleneck in forestry and breeding. Modern technologies use systems equipped with various imaging sensors to automatically collect high volume phenotypic data that can be used assess trees' attributes. Context Efficient the potential spark new Green Revolution, it would provide an opportunity acquire gro...