Harvest Stage Recognition and Potential Fruit Damage Indicator for Berries Based on Hidden Markov Models and the Viterbi Algorithm
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....
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2019-10-01
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doaj-3b645f749499411ebaee08970049e5702020-11-25T00:39:18ZengMDPI AGSensors1424-82202019-10-011920442110.3390/s19204421s19204421Harvest Stage Recognition and Potential Fruit Damage Indicator for Berries Based on Hidden Markov Models and the Viterbi AlgorithmMarcos Orchard0Carlos Muñoz-Poblete1Juan Ignacio Huircan2Patricio Galeas3Heraldo Rozas4Department of Electrical Engineering, Universidad de La Frontera, Temuco 4811230, ChileDepartment of Electrical Engineering, Universidad de La Frontera, Temuco 4811230, ChileDepartment of Electrical Engineering, Universidad de La Frontera, Temuco 4811230, ChileDepartment of Computer Science, Universidad de La Frontera, Temuco 4811230, ChileDepartment of Electrical Engineering, Faculty of Physical and Mathematical Sciences, Universidad de Chile, Santiago 8370451, ChileThis 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.https://www.mdpi.com/1424-8220/19/20/4421berry harvesting stagesmarkov chainsviterbi algorithmmonitoringfruit damage indicator |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Marcos Orchard Carlos Muñoz-Poblete Juan Ignacio Huircan Patricio Galeas Heraldo Rozas |
spellingShingle |
Marcos Orchard Carlos Muñoz-Poblete Juan Ignacio Huircan Patricio Galeas Heraldo Rozas Harvest Stage Recognition and Potential Fruit Damage Indicator for Berries Based on Hidden Markov Models and the Viterbi Algorithm Sensors berry harvesting stages markov chains viterbi algorithm monitoring fruit damage indicator |
author_facet |
Marcos Orchard Carlos Muñoz-Poblete Juan Ignacio Huircan Patricio Galeas Heraldo Rozas |
author_sort |
Marcos Orchard |
title |
Harvest Stage Recognition and Potential Fruit Damage Indicator for Berries Based on Hidden Markov Models and the Viterbi Algorithm |
title_short |
Harvest Stage Recognition and Potential Fruit Damage Indicator for Berries Based on Hidden Markov Models and the Viterbi Algorithm |
title_full |
Harvest Stage Recognition and Potential Fruit Damage Indicator for Berries Based on Hidden Markov Models and the Viterbi Algorithm |
title_fullStr |
Harvest Stage Recognition and Potential Fruit Damage Indicator for Berries Based on Hidden Markov Models and the Viterbi Algorithm |
title_full_unstemmed |
Harvest Stage Recognition and Potential Fruit Damage Indicator for Berries Based on Hidden Markov Models and the Viterbi Algorithm |
title_sort |
harvest stage recognition and potential fruit damage indicator for berries based on hidden markov models and the viterbi algorithm |
publisher |
MDPI AG |
series |
Sensors |
issn |
1424-8220 |
publishDate |
2019-10-01 |
description |
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. |
topic |
berry harvesting stages markov chains viterbi algorithm monitoring fruit damage indicator |
url |
https://www.mdpi.com/1424-8220/19/20/4421 |
work_keys_str_mv |
AT marcosorchard harveststagerecognitionandpotentialfruitdamageindicatorforberriesbasedonhiddenmarkovmodelsandtheviterbialgorithm AT carlosmunozpoblete harveststagerecognitionandpotentialfruitdamageindicatorforberriesbasedonhiddenmarkovmodelsandtheviterbialgorithm AT juanignaciohuircan harveststagerecognitionandpotentialfruitdamageindicatorforberriesbasedonhiddenmarkovmodelsandtheviterbialgorithm AT patriciogaleas harveststagerecognitionandpotentialfruitdamageindicatorforberriesbasedonhiddenmarkovmodelsandtheviterbialgorithm AT heraldorozas harveststagerecognitionandpotentialfruitdamageindicatorforberriesbasedonhiddenmarkovmodelsandtheviterbialgorithm |
_version_ |
1725293982416633856 |