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Harvest Stage Recognition and Potential Fruit Damage Indicator for Berries Based on Hidden Markov Models and the Viterbi Algorithm

1
Department of Electrical Engineering, Universidad de La Frontera, Temuco 4811230, Chile
2
Department of Electrical Engineering, Faculty of Physical and Mathematical Sciences, Universidad de Chile, Santiago 8370451, Chile
3
Department of Computer Science, Universidad de La Frontera, Temuco 4811230, Chile
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Sensors 2019, 19(20), 4421; https://doi.org/10.3390/s19204421
Received: 30 August 2019 / Revised: 27 September 2019 / Accepted: 2 October 2019 / Published: 12 October 2019
(This article belongs to the Special Issue IoT-Based Systems for Smart and Sustainable Agriculture)
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. View Full-Text
Keywords: berry harvesting stages; Markov chains; Viterbi algorithm; monitoring; fruit damage indicator berry harvesting stages; Markov chains; Viterbi algorithm; monitoring; fruit damage indicator
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MDPI and ACS Style

Orchard, M.; Muñoz-Poblete, C.; Huircan, J.I.; Galeas, P.; Rozas, H. Harvest Stage Recognition and Potential Fruit Damage Indicator for Berries Based on Hidden Markov Models and the Viterbi Algorithm. Sensors 2019, 19, 4421.

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