A review of computer vision technologies for plant phenoty**

Z Li, R Guo, M Li, Y Chen, G Li - Computers and Electronics in Agriculture, 2020 - Elsevier
Plant phenotype plays an important role in genetics, botany, and agronomy, while the
currently popular methods for phenotypic trait measurement have some limitations in …

Machine learning for plant phenoty** needs image processing

SA Tsaftaris, M Minervini, H Scharr - Trends in plant science, 2016 - cell.com
We found the article by Singh et al.[1] extremely interesting because it introduces and
showcases the utility of machine learning for high-throughput data-driven plant phenoty** …

Deep count: fruit counting based on deep simulated learning

M Rahnemoonfar, C Sheppard - Sensors, 2017 - mdpi.com
Recent years have witnessed significant advancement in computer vision research based
on deep learning. Success of these tasks largely depends on the availability of a large …

Cnn-based density estimation and crowd counting: A survey

G Gao, J Gao, Q Liu, Q Wang, Y Wang - ar** tasks
JR Ubbens, I Stavness - Frontiers in plant science, 2017 - frontiersin.org
Plant phenomics has received increasing interest in recent years in an attempt to bridge the
genotype-to-phenotype knowledge gap. There is a need for expanded high-throughput …
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M Minervini, A Fischbach, H Scharr… - Pattern recognition letters, 2016 - Elsevier
Image-based approaches to plant phenoty** are gaining momentum providing fertile
ground for several interesting vision tasks where fine-grained categorization is necessary …