Automated trichome counting in soybean using advanced image‐processing techniques
Applications in Plant Sciences2020Vol. 8(7), pp. e11375–e11375
Citations Over TimeTop 10% of 2020 papers
Seyed Vahid Mirnezami, Therin J. Young, Teshale Assefa, Shelby Prichard, Koushik Nagasubramanian, Kulbir Singh Sandhu, Soumik Sarkar, Sriram Sundararajan, Matt E. O’Neal, Baskar Ganapathysubramanian, Arti Singh
Abstract
We address trichome counting challenges including occlusion by combining image processing with human intervention to propose a semi-automated method for trichome quantification. This provides new opportunities for the rapid and automated identification and quantification of trichomes, which has applications in a wide variety of disciplines.
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