Technologies

The containers for plants and the like have different shapes, an open top to facilitate irrigation and material supply; a base that includes one or more holes to facilitate proper water drainage and to ensure ventilation for the rooting apparatus. An inconvenience of these containers is related to their placement in outdoor environments without roofs: in the presence of "unfavorable" climatic conditions, excessive exposure to rain water rather than excessive exposure to the sun, these containers expose plants to a series of problems.

The development of functional foods is often limited by industrial manufacturing processes, for example, for the production of baked foods, the use of high cooking temperatures causes denaturation of proteins, destruction of vitamins, alteration of fatty acids, etc. The protection of these components is essential in the production of gluten-free foods as they are generally poor in proteins and vitamins.

The platform allows the deployment of a sensor network with peripheral nodes spread on the crop fields or on the environment for the monitoring of crop parameters/environmental parameters. The network architecture integrated LoRa peripheral nodes for short-medium range communication and star-center NB-IoT based for long range communication. It includes a web server and MySQL database for data storage and visualization. The network architecture is scalable to adapt to the area to monitor.

The prototype uses soil moisture sensors which, through a measurement of dielectric permittivity, estimate the soil moisture based on which irrigation is started through relay-controlled solenoid valve. The system was developed using Open Source technologies. Specifically, for the hardware components, a small sized board computer Raspberry PI 3B + was used together with a 4G LTE Wi-Fi router and a Modbus rs485 / USB converter.

This form describes a programmable, autonomous and stand-alone imaging system for the acquisition and processing of images containing subjects whose size is larger than 1cm (e.g. gelatinous zooplankton, fishes, litter, manufacts), form the seafloor or along the water column, in shallow or deep waters. It is capable to recognize and classify the image content through pattern recognition algorithms that combine computer vision and artificial intelligence methodologies.

Safe, efficient and specific nano-delivery systems are increasingly needed for precision and regenerative medicine and targeted therapies (e.g. anticancer and antimicrobial therapies), as well as for  the cosmetic and nutraceutical sectors’ applications. Despite the appreciable success of synthetic nanovectors, like for example liposomes, their clinical and market application is hampered by some limitations: • large scale production, • low cost production • intrinsic toxicity • limited cellular uptake • limited consumer acceptance.