The supply chain of perishable products, as fruits and vegetables is affected by environmental abuses from
harvest to the final destination which are responsible the uncontrolled deterioration of food. In order to
reduce such phenomena the supply chain members should control and monitor the conditions of goods in
order to ensure their quality for consumers and to comply with all legal requirements (Garcia Ruiz, 2008).
The most important factor influencing the food quality is the temperature able to prolonging the shelf life of
the products. Since the temperature can inhibit or promote the maturation and deterioration process, this
parameter is involved both in the growing process of fruits and vegetables and in the transport and storage
stages. Given this the aim of the present thesis is to show that the monitoring of such parameter during the
pre and post harvest stages allows to improve the decision making process. In the context of temperature
monitoring the introduction of emerging information technologies such as the Wireless Sensors Networks
and the Radio Frequency Identification can now provide real-time status knowing of product managed. The
real time monitoring can be of great help in the definition of the actual maturation level of products both in
the field and during the cold chain. The suitability of such an approach is evaluated by means of case studies.
The first case study concerns the monitoring of grapes growth directly in the vineyard. The suitability of
Wireless Sensors Networks in the monitoring of the grapes growth process is evaluated in terms of the
possibility to determine the date of starting or ending of phenological phases. This information allows to
make faster decisions about the vineyard operations which must be performed during the grape growth and
finally allows to predict the maturation date in order to optimize the harvest operations. In the next case
study the possibility to apply the Radio Frequency Identification technology to the monitoring of the fresh
fruits along the cold chain has been faced and the quality of the products at any stage of the supply chain has
been determined through a mathematical model. The knowing of the current quality level allows to make
decisions about the destination of products. In this case those products having a shorter shelf life can be
distributed to a local market while those with longer shelf life can be distributed to more distant location. In
the next case study the information about the current deterioration state of perishable products has been
translated into a warehouse management system in order to determine the operational parameters able to
optimize the quality of products stored. Even in this case the goal of the study was to provide a decision
making tool for the proper management of the perishable products stored. However besides the advantages
achievable by the real time evaluation of environmental conditions the costs involved with the
implementation of innovative technologies must be determined in order to establish the suitability of the
investment in such innovative technologies. The present thesis also faces this question by determining the
optimal number of devices to apply to the stock keeping unit in order to minimize the total cost associated to
the transferring batch from the producer to the distributor. In this case the methodology employed is that of a
mathematical model including all costs associated to the product management. Finally the study conducted
through the present thesis shows that in all of the cases treated the use of the innovative technologies allows
to support the decision making process in the pre and post harvest phases thus improving the perishables
management