| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 6540174 | Computers and Electronics in Agriculture | 2016 | 9 Pages |
Abstract
This paper focuses on technologies and applications to acquire and monitor changes in product shelf life using different SL predictive models. The paper includes a case study on a simulated transportation of strawberries, using a prototype of Smart Logistic Unit equipped with a GPS module for real time positioning of the truck, a 3G connection as communication system for remote quality supervision, and a shelf life prediction algorithm based on four different models and implemented on a webGIS platform.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Rosanna Sciortino, Rosa Micale, Mario Enea, Giada La Scalia,