2022 journal article

Efficient imaging and computer vision detection of two cell shapes in young cotton fibers

Graham, B. P., Park, J., Billings, G. T., Hulse-Kemp, A. M., Haigler, C. H., & Lobaton, E. (2022, November 26). APPLICATIONS IN PLANT SCIENCES, Vol. 11.

By: B. Graham  n, J. Park  n, G. Billings  n, A. Hulse‐Kemp  n, C. Haigler n  & E. Lobaton  n

author keywords: cotton diversity; fiber morphogenesis; Gossypium barbadense; Gossypium hirsutum; light microscopy; machine learning
topics (OpenAlex): Research in Cotton Cultivation; Textile materials and evaluations; Bamboo properties and applications
TL;DR: Improved semi‐automated imaging methods for young cotton fibers and a novel machine learning algorithm for the rapid detection of tapered or hemisphere fibers in homogeneous or mixed populations are developed. (via Semantic Scholar)
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UN Sustainable Development Goal Categories
2. Zero Hunger (Web of Science)
13. Climate Action (Web of Science)
Source: ORCID
Added: November 28, 2022

The shape of young cotton (