Preprint Article Version 1 This version is not peer-reviewed

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

Version 1 : Received: 30 August 2019 / Approved: 1 September 2019 / Online: 1 September 2019 (08:11:54 CEST)

How to cite: Orchard, M.E.; Muñoz-Poblete, C.; Huircan, J.; Galeas, P.; Rozas, H. Harvest Stage Recognition and Potential Fruit Damage Indicator for Berries Based on Hidden Markov Models and the Viterbi Algorithm. Preprints 2019, 2019090002 (doi: 10.20944/preprints201909.0002.v1). Orchard, M.E.; Muñoz-Poblete, C.; Huircan, J.; Galeas, P.; Rozas, H. Harvest Stage Recognition and Potential Fruit Damage Indicator for Berries Based on Hidden Markov Models and the Viterbi Algorithm. Preprints 2019, 2019090002 (doi: 10.20944/preprints201909.0002.v1).

Abstract

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 to the packing) 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 inference 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.

Subject Areas

berry harvesting stages; Markov chains; Viterbi algorithm; monitoring; fruit damage indicator

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