Deep Learning Predicts Rapid Over-softening and Shelf Life in Persimmon Fruits
Author:
Affiliation:
1. Graduate School of Environmental and Life Science, Okayama University
2. Fukuoka Agriculture and Forestry Research Center
3. Department of Advanced Information Technology, Kyushu University
4. JST, PRESTO
Publisher
Japanese Society for Horticultural Science
Subject
Horticulture,Plant Science
Link
https://www.jstage.jst.go.jp/article/hortj/91/3/91_UTD-323/_pdf
Reference38 articles.
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2. Akagi, T., A. Katayama-Ikegami and K. Yonemori. 2011. Proanthocyanidin biosynthesis of persimmon (Diospyros kaki Thunb.) fruit. Sci. Hortic. 130: 373–380.
3. Akagi, T., M. Onishi, K. Masuda, R. Kuroki, K. Baba, K. Takeshita, T. Suzki, T. Niikawa, S. Uchida and T. Ise. 2020. Explainable deep learning reproduces a ‘professional eye’ on the diagnosis of internal disorders in persimmon fruit. Plant Cell Physiol. 61: 1967–1973.
4. Alber, M., S. Lapuschkin, P. Seegerer, M. Hägele, K. T. Schütt, G. Montavon, W. Samek, K. R. Muller, S. Dähne and P. J. Kindermans. 2019. iNNvestigate neural networks! J. Mach. Learn. Res. 20: 1–8.
5. Atkinson, R. G., P. W. Sutherland, S. L. Johnston, K. Gunaseelan, I. C. Hallett, D. Mitra, D. A. Brummell, R. Schröder, J. W. Johnston and R. J. Schaffer. 2012. Down-regulation of POLYGALACTURONASE1 alters firmness, tensile strength and water loss in apple (Malus × domestica) fruit. BMC Plant Biol. 12: 1–13.
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