Radio Frequency Identification (RFID) is a technology providing considerable opportunities to improve quality control for perishable foods. Over the past decade, a significant improvement in RFID application has been observed in cold chain monitoring. The aim of this paper is to, first, demonstrate the role of RFID in improving the monitoring of the agricultural products cold chain. Particular focus is placed on the specifications of RFID and its advantages, which makes its application appealing in food temperature monitoring. Second, this paper aims to provide an overview of RFID developments in cold chain monitoring. For this purpose, we conduct a review of the literature throughout 2004-2018 citing the challenges of this technology’s practical implementation in temperature monitoring of perishables, and provide the solutions presented in the literature for each limitation. This survey would be beneficial for those involved in food distribution, as it offers approaches for overcoming the limitations of RFID, making its application more advantageous.

No abstract

This study examines the supply response and the effect of price predictability of corn in the province of Quebec. A generalized autoregressive conditional heteroskedasticity (GARCH) process is used to model output price expectations and its volatility. The empirical results show that price predictability has a positive effect on producers' decisions. Estimation of supply elasticity illustrates that expected output price is the most important risk factor for corn producers in Quebec. As expected, we found that the Farm Income Stabilization Insurance (ASRA) in Quebec leads producers to be more sensitive to effective prices than to market prices. Our results also show that application of this program causes less sensitivity to input prices than to output prices. Reducing producers' risk aversion is another implication of this program. Cette étude examine la fonction de réponse de l'offre du maïs ainsi que l'effet de la prévisibilité de son prix dans la province de Québec. Une procédure hétéroscédasticité conditionnelle autorégressive généralisée (GARCH) est utilisé afin de modéliser les anticipations de prix d'output et sa volatilité. Les résultats empiriques montrent que la prévisibilité des prix a un effet positif sur la décision du producteur. En outre l'estimation de l'élasticité de l'offre révèle que le prix anticipé d'output est le facteur le plus important du risque pour le producteur de maïs au Québec. Comme prévu, nous avons constaté que l'assurance-stabilisation des revenus agricoles (ASRA) au Québec fait au sort que le producteur soit plus sensible aux prix effectifs qu'au prix du marché. De plus nos résultats montrent que l'application de ce programme entraîne une moindre sensibilité aux prix des intrants par rapport aux prix d'output. La diminution de l'aversion au risque de producteur est une autre conséquence de l'application de ce programme.

Aims: This study examines the supply response of corn in the province of Quebec. Study Design: A time series design is implemented. Place and Duration of Study: Our analysis covers the period from 1985 to 2013 and uses the data of corn production in the province of Quebec. Methodology: A generalised autoregressive conditional heteroskedasticity (GARCH) process is used to model output price expectations and its volatility. Results: We found that application of the Farm Income Stabilisation Insurance in Quebec neutralises the adverse effects of price volatilities on corn production and generates a market power for corn producers. The change in the producers' attitude towards risk is other implication of the insurance program. Conclusion: These results imply that implementation of the insurance program in the province of Quebec leads to an increase of corn production and consequently this increase in production can impose more compensation cost (paid by the insurance program) to governments.

No abstract