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ARS Home » Midwest Area » East Lansing, Michigan » Sugarbeet and Bean Research » Research » Publications at this Location » Publication #364855
Research Project: Utilizing Genetic Diversity within Phaseolus vulgaris to Develop Dry Beans with Enhanced Functional Properties

Location: Sugarbeet and Bean Research

Title: Bean split ratio for dry bean canning quality and variety analysis

Author
item LONG, YUNFEI - Michigan State University
item BASSETT, AMBER - Michigan State University
item Cichy, Karen
item THOMPSON, ADDIE - Michigan State University
item MORRIS, DANIEL - Michigan State University

Submitted to: Symposium Proceedings
Publication Type: Proceedings
Publication Acceptance Date: 4/3/2019
Publication Date: 6/16/2019
Citation: Long, Y., Bassett, A., Cichy, K.A., Thompson, A., Morris, D. 2019. Bean split ratio for dry bean canning quality and variety analysis. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshop, June 16-20, 2019, Long Beach, California. p. 0-0.

Interpretive Summary: Dry beans are commonly thermally processed in tin cans. The quality of canned beans varies depending on many factors, including variety and processing time. The evaluation of canning quality is often done by trained human panelists. Higher throughput methods are needed and the objective of this research was to develop an image analysis method of the split bean ratio in canned beans. High correlations between image based evaluation and human-estimated bean intactness.

Technical Abstract: Splits on canned beans appear in the process of preparation and canning. Researchers are studying how they are influenced by cooking environment and genotype. However, there is no existing method to automatically quantify or to characterize the severity of splits. To solve this, we propose two measures: the Bean Split Ratio (BSR) that quantifies the overall severity of splits, and the Bean Split Histogram (BSH) that characterizes the size distribution of splits. We create a pixel-wise segmentation method to automatically estimate these measures from images. We also present a bean dataset of recombinant inbred lines of two genotypes, use the BSR and BSH to assess canning quality, and explore heritability of these properties.