Bt9 Ltd. and Stepac L.A. LTD. | Date: 2011-04-05
Electronic sensors and sensor modules for use in monitoring temperature and relative humidity of perishables throughout the supply chain as well as other parameters including acetaldehyde, ethylene, ethanol, CO2 and O2 concentrations and presence of pathogenic microorganisms.
Bt9 Ltd. and Stepac L.A. The Sterilizing Packaging Company of L.A. LTD. | Date: 2010-12-07
Web based software for real time monitoring of critical quality parameters of products including post harvest fresh produce and other perishable items throughout a supply chain that may be downloaded from a global computer network. (Based on 44(e) Israel registration number 205387) Providing real time monitoring for third parties of critical quality parameters of products including post harvest fresh produce and other perishable items throughout a supply chain.
Bollen A.F.,ZESPRI International |
Tanner D.J.,ZESPRI International |
Soon C.B.,BT9 Ltd. |
East A.R.,Massey University |
And 5 more authors.
Acta Horticulturae | Year: 2015
New Zealand is a major exporter of fresh kiwifruit. The supply chain is characterised by short and long term storage in New Zealand; two main modes of transport (containers and chartered reefer vessels); multiple distribution and storage channels in markets with varying capabilities to manage the product. The cool chain is the key technology for maintaining a high quality product over a long selling season and a complex supply chain. Improved visibility and accountability for management of temperatures right along the supply chain from harvest to final customer is seen as one of the vital enablers for management of fruit quality. In 2011 the New Zealand kiwifruit industry embarked on a trial to evaluate a potentially transformational method for monitoring the product temperature with a proprietary temperature monitoring system using wireless communication to download data. This technology offers the opportunity to monitor individual pallets with virtually no human intervention and have the data available to users throughout the chain on a web-based platform. The aim of such systems is to provide evidence of best practice and react to alarms and alerts where temperatures are out of specification. The power of these systems, however, is the opportunity to utilise information on the supply chain history to predict out-turn quality. The current pilot has been used to research possible techniques to model fruit quality throughout the chain. One of the major complicating factors has been dealing with vast quantities of often imprecise data and relating these to impacts on fruit quality. Source
Ben-Tzur I.,BT9 Ltd. |
Sharshevsky H.,BT9 Ltd. |
Mangut-Leiba S.,BT9 Ltd. |
Dagar A.,BT9 Ltd.
Acta Horticulturae | Year: 2015
The fresh food industry is plagued with a large percentage of waste and significant food safety issues in its supply chain. About one-third of fresh produce goes to waste because of improper sanitary, temperature and RH handling. Similarly, in the US there are, annually, approximately 76 million incidents of food poisoning, 325,000 hospitalizations and 5,000 deaths with direct economic cost of over USD $35 billion. A number of technologies have been developed to deal with waste and food safety risks, e.g., data loggers, gas chromatographs, and pathogen detection devices (e.g., 3M Molecular detection System). Unfortunately all such devices are independent of each other, fragmented in their data stream, and prevent decision makers from having a full view of risks associated with the consumption of perishable goods. To overcome such deficiencies, the Xsense® technology was designed as a platform for real time data collection, data communication and information. At its core, the technology is conceived as a tag capable of carrying multiple sensor devices, collecting data on temperature, RH, and various volatile and pathogen specific gases. Data collection is in real time, using novel and advanced active RF-based mesh networking communication technology, and transmitting the collected data along with GPS locations through an innovative Communication Device to a centralized data center (server in a cloud) to enable the construction of data mining for the purpose of information generation through analytics processes. The Xsense® system offers a holistic approach to the mitigation of risks associated with quality, freshness, and food safety in the supply chain. Once the data have been collected and transmitted, the Xsense® technology generates, among other things, Cold Chain Logistic (CCL) scores and Pallets in Risk (PIR) indicators, thereby enabling the transformation of inventory management from First-in-First-Out (FIFO) to First-Expired-First-Out (FEFO). Source