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

Orchard, Marcos; Munoz-Poblete, Carlos; Ignacio Huircan, Juan; Galeas, Patricio; Rozas, Heraldo

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 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.

Más información

Título según WOS: Harvest Stage Recognition and Potential Fruit Damage Indicator for Berries Based on Hidden Markov Models and the Viterbi Algorithm
Título según SCOPUS: Harvest stage recognition and potential fruit damage indicator for berries based on hidden Markov models and the viterbi algorithm
Título de la Revista: SENSORS
Volumen: 19
Número: 20
Editorial: MDPI
Fecha de publicación: 2019
Idioma: English
DOI:

10.3390/s19204421

Notas: ISI, SCOPUS