In the food industry, food-borne diseases and chemical contamination pose
a serious threat to human health and safety, induce significant economic losses and
cause environmental damage due to food wastage. The food safety and quality have
attained muc...
In the food industry, food-borne diseases and chemical contamination pose
a serious threat to human health and safety, induce significant economic losses and
cause environmental damage due to food wastage. The food safety and quality have
attained much public concern due to widespread diseases. Many agricultural pests
and diseases exist worldwide that could be introduced into any country's
agriculture food supply chain as a food fraud through imported agriculture food
products. Food Fraud is an illegal deception for economic gain using food. These
issues arise many challenges for the food supply chains in present time as well as
for future. To address these challenges in the food chains, it is important to develop
systems that can monitor the condition, track the history of agriculture food
products and protect the food supply chains from counterfeit food products.
Another aspect for food chains is the growing awareness of people about
the sustainability of food chains. Food chains need to be more sustainable in order
to maintain consumer health and to efficiently sustain the growing demand for food.
The three basic ingredients of sustainability are social, economic and the
environment. The food quality and safety have a big impact on the food
sustainability as low-quality food can severely affect human health, cause financial
and raw material losses, and create environmental pollution as food wastage. These
problems become more significant due to the globalization and international free
trade of food. To ensure the public health and sustainability in food chains, it is
essential to develop an efficient monitoring system that can address such issues in
food chains.
An electronic pedigree (ePedigree) system is proposed in this research
which is based on the integration of the RFID, ePedigree and WSN (Wireless
Sensor Network) in order to maintain the quality and forbid the distribution of
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adulterated food products throughout the supply chain. But the data collected from
sensor network throughout the complete supply chain subject to many problems
and source of errors. One of such problems is missing values/data due to several
reasons. This study utilizes the data mining technique to predict the missing sensor
data. The results obtained from the case-study show that our proposed system gives
the benefit to the managers as well as to the customers by providing real-time
location as well as complete temperature-humidity history.
Furthermore, the performance evaluation of the proposed ePedigree
systems is also presented to facilitate the implementation in the food chains. This
ePedigree system not only ensures the quality of the agriculture food products but
also restrict the entry of illegal contaminated food into safe distribution channels. It
helps to attain the sustainable development in the food industry. We have
developed a prototype of the ePedigree application and tested the proposed
architecture using simulation to evaluate the feasibility of the design. Additionally,
a comprehensive analysis of the proposed ePedigree system is presented with
respect to the different aspects of sustainability in order to highlight the benefits
that can be achieved by implementing the proposed system. Finally, based on the
results of performance evaluation, we provide guidelines for businesses interested
in the implementation of the ePedigree traceability system.