Proposed Activities
Work Packages
The project consists of three WPs. The first WP will be aimed to the reduction of the agricultural input in the greenhouses, with the optimization of the use of water and fertilizers in soilless and soil cultivation. For soilless cultivation, open and closed-cycles with recirculation of nutrients will be studied, whereas the use of advanced sensors will allow the reduction of resources, even in open-cycle systems, allowing to control the impact on the environment and the society. WP2 will be dedicated to the quality assessment, and the implementation of new tools to provide information on produce quality and history, with particular focus on discriminating produce obtained with LIP on the basis of spectral information. Non-destructive methods, including NIR, Hyperspectral imaging and digital imaging have been used in some cases for food authentication, showing an interesting potential of application. Conventional attributes assessing maturity index, sensorial and nutritional quality will be also evaluated with the aim of characterizing the quality of the obtained products and to build prediction models based on ND methods to predict internal quality also trough the packaging. For this last activity, in order to extend the consistency of the results, a commercially important fresh-cut fruit (i.e. apple) will be also studied. Finally, the WP3 will test the hypothesis of the influence of quality certification of LIP practices resulting from ND methods on consumer choices and their willingness to pay, in order to produce adequate and realistic marketing strategies. Results produced from all WPs will feed Tasks in WP4 ensuring dissemination in different formats and to various targets. Finally, coordination activities, described in WP5, will concern all phases of the project from its very beginning, ensuring optimal execution, exchange of information and products, and managing contingencies.
Partial and general objectives will be reached through research activities organized in work packages (WP), as following detailed: