{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,28]],"date-time":"2026-02-28T04:28:30Z","timestamp":1772252910788,"version":"3.50.1"},"reference-count":21,"publisher":"MDPI AG","issue":"20","license":[{"start":{"date-parts":[[2019,10,12]],"date-time":"2019-10-12T00:00:00Z","timestamp":1570838400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100002848","name":"Comisi\u00f3n Nacional de Investigaci\u00f3n Cient\u00edfica y Tecnol\u00f3gica","doi-asserted-by":"publisher","award":["FONDEF ID16I10206"],"award-info":[{"award-number":["FONDEF ID16I10206"]}],"id":[{"id":"10.13039\/501100002848","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>This article proposes a monitoring system that allows to track transitions between different stages in the berry harvesting process (berry picking, waiting for transport, transport and arrival at the packing site) solely using information from temperature and vibration sensors located in the basket. The monitoring system assumes a characterization of the process based on hidden Markov models and uses the Viterbi algorithm to perform inferences and estimate the most likely state trajectory. The obtained state trajectory estimate is then used to compute a potential damage indicator in real time. The proposed methodology does not require information about the weight of the basket to identify each of the different stages, which makes it effective and more efficient than other alternatives available in the industry.<\/jats:p>","DOI":"10.3390\/s19204421","type":"journal-article","created":{"date-parts":[[2019,10,14]],"date-time":"2019-10-14T03:54:13Z","timestamp":1571025253000},"page":"4421","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Harvest Stage Recognition and Potential Fruit Damage Indicator for Berries Based on Hidden Markov Models and the Viterbi Algorithm"],"prefix":"10.3390","volume":"19","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4778-2719","authenticated-orcid":false,"given":"Marcos","family":"Orchard","sequence":"first","affiliation":[{"name":"Department of Electrical Engineering, Universidad de La Frontera, Temuco 4811230, Chile"},{"name":"Department of Electrical Engineering, Faculty of Physical and Mathematical Sciences, Universidad de Chile, Santiago 8370451, Chile"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7737-3102","authenticated-orcid":false,"given":"Carlos","family":"Mu\u00f1oz-Poblete","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering, Universidad de La Frontera, Temuco 4811230, Chile"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Juan Ignacio","family":"Huircan","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering, Universidad de La Frontera, Temuco 4811230, Chile"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1416-6154","authenticated-orcid":false,"given":"Patricio","family":"Galeas","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Universidad de La Frontera, Temuco 4811230, Chile"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Heraldo","family":"Rozas","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering, Faculty of Physical and Mathematical Sciences, Universidad de Chile, Santiago 8370451, Chile"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2019,10,12]]},"reference":[{"key":"ref_1","unstructured":"Mu\u00f1oz, M. 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