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Neural Network Modeling to Predict Shelf Life of Greenhouse Lettuce
- Source :
- Algorithms, Volume 2, Issue 2, Pages 623-637, Algorithms, Vol 2, Iss 2, Pp 623-637 (2009)
- Publication Year :
- 2009
- Publisher :
- Molecular Diversity Preservation International, 2009.
-
Abstract
- Greenhouse-grown butter lettuce (Lactuca sativa L.) can potentially be stored for 21 days at constant 0°C. When storage temperature was increased to 5°C or 10°C, shelf life was shortened to 14 or 10 days, respectively, in our previous observations. Also, commercial shelf life of 7 to 10 days is common, due to postharvest temperature fluctuations. The objective of this study was to establish neural network (NN) models to predict the remaining shelf life (RSL) under fluctuating postharvest temperatures. A box of 12 - 24 lettuce heads constituted a sample unit. The end of the shelf life of each head was determined when it showed initial signs of decay or yellowing. Air temperatures inside a shipping box were recorded. Daily average temperatures in storage and averaged shelf life of each box were used as inputs, and the RSL was modeled as an output. An R2 of 0.57 could be observed when a simple NN structure was employed. Since the "future" (or remaining) storage temperatures were unavailable at the time of making a prediction, a second NN model was introduced to accommodate a range of future temperatures and associated shelf lives. Using such 2-stage NN models, an R2 of 0.61 could be achieved for predicting RSL. This study indicated that NN modeling has potential for cold chain quality control and shelf life prediction.
- Subjects :
- lcsh:T55.4-60.8
Neural network modeling
neural network (NN)
Greenhouse
Lactuca
Shelf life
Atmospheric sciences
lcsh:QA75.5-76.95
postharvest
regression analysis
Theoretical Computer Science
2-stage NN
simple NN
lcsh:Industrial engineering. Management engineering
Cold chain
Numerical Analysis
biology
Lactuca sativa
Neural network nn
biology.organism_classification
Computational Mathematics
Computational Theory and Mathematics
storage temperature
Postharvest
Environmental science
lcsh:Electronic computers. Computer science
Subjects
Details
- Language :
- English
- ISSN :
- 19994893
- Database :
- OpenAIRE
- Journal :
- Algorithms
- Accession number :
- edsair.doi.dedup.....62c3b1d92c37c6d9ca12ede5be975f92
- Full Text :
- https://doi.org/10.3390/a2020623