Cherry tomato firmness detection and prediction using a vision-based tactile sensor
Author:
Funder
Natural Science Foundation of Zhejiang Province
Publisher
Springer Science and Business Media LLC
Subject
Industrial and Manufacturing Engineering,Safety, Risk, Reliability and Quality,General Chemical Engineering,Food Science
Link
https://link.springer.com/content/pdf/10.1007/s11694-023-02249-0.pdf
Reference36 articles.
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2. L. Aragüez, A. Colombo, R. Borneo, A. Aguirre, Active packaging from triticale flour films for prolonging storage life of cherry tomato. Food Packag. Shelf Life 25, 100520 (2020). https://doi.org/10.1016/j.fpsl.2020.100520
3. C. Fagundes, K. Moraes, M.B. Pérez-Gago, L. Palou, M. Maraschin, A.R. Monteiro, Effect of active modified atmosphere and cold storage on the postharvest quality of cherry tomatoes. Postharvest Biol. Technol. 109, 73–81 (2015). https://doi.org/10.1016/j.postharvbio.2015.05.017
4. P. Barreiro, V. Steinmetz, M. Ruiz-Altisent, Neural bruise prediction models for fruit handling and machinery evaluation. Comput. Electron. Agric. 18(2–3), 91–103 (1997). https://doi.org/10.1016/s0168-1699(97)00022-7
5. P.P. Subedi, K.B. Walsh, Non-invasive techniques for measurement of fresh fruit firmness. Postharvest Biol. Technol. 51(3), 297–304 (2009). https://doi.org/10.1016/j.postharvbio.2008.03.004
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