Progetti Internazionali

Real time smart irrigation management at multiple stakeholders’ levels (SMARTIES)

The project develops a real-time web-gis system for pixel wise parsimonious precise irrigation management optimizing water productivity and economic income integrating farm analysis into water irrigation district one.

• Coordinatore Politecnico di Milano - Italy 
• Università degli studi della Tuscia - Italy
• CNR - ISAFOM - Italy
• Meteo operations Italia - Italy
• Aswan University - Egypt
• University of Valencia - Spain
• Centro de Investigación y Tecnología Agroalimentaria - Spain
• Centre d'Etudes Spatiales de la Biosphère - France
• Luxembourg Institute of Science and Technology - Luxembourg
• Chouaib Doukkali University - Morocco
• Ecole Supérieure des Ingénieurs de Medjez El Bab - Tunisia
• Institut National de Recherches en Génie Rural, Eaux et Forêts - Tunisia
• Institut Supérieur Agronomique Chott Mériem - Tunisia

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06 499327560

HERISH ERASMUS + Project No. 2019 1 IT01 KA202 007440 

Cultural and Natural Heritage Integrated System: a multidisciplinary approach to promote sustainable tourism

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0984 841402

SUPERSCIENCEME – Research is your Re-generation

Notte Europea della Ricerca 2021 - Green Deal

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0984 841423

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0984 841427

SUPERSCIENCEME – Research is your Re-generation

Notte Europea della Ricerca in Italia - 2022

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0984 841423

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0984 841427

INNOMED - Innovative options for water resources management in the Mediterranean

Implementazione e utilizzazione di avanzate tecniche di modellazione per quantificare gli effetti fisici ed economici di alternative opzioni di gestione del territorio sul ciclo dell'acqua.

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0984 841464

SISAS - Studio Integrato per la Sostenibilità Ambientale dei Suoli

Monitoraggio della qualità geochimica dei suoli e delle colyure su di esse insistenti

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0984 841427

LIFE+ ManFor C.BD. 2010-2015. “Managing Forests for multiple purposes: Carbon, BioDiversity and socio-economic well-being”

Gestioni delle foreste con obiettivi multipli: carbonio, biodiversità e benessere socio-economico

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Development of Integrated Web-Based Land Decision Support System Aiming Towards the Implementation of Policies for Agriculture and Environment

The LANDSUPPORT project aims at developing a web-based completely free, open-access GeoSpatial Decision Support System (S-DSS) devoted to:
Support sustainable agriculture and forestry
Evaluate trade-off between land uses

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06 499327564

Towards climate-smart sustainable management of agricultural soils

The objectives are to develop knowledge, tools and an integrated research community to foster climate-smart sustainable agricultural soil management that:allows sustainable food production;sustains soil biodiversity

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0984 841466

Modelling soil functions and soil threats for mapping soil functions and ecosystem services

Assess, analyze and map soil ecosystem services bundles across European agricultural landscapes, highlighting how soil threats affects the supply of services bundles through adoption of a set of site-specific reference thresholds.

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06 499327564

Efficient, Eco-Friendly, Sustainable Mediterranean Greenhouse Integrated with Artificial Intelligence, Hi-Tech Automation and Control System - acronym SUSMEDHOUSE

The aim of SusMedHouse is to develop a sustainable greenhouse system to enhance the productivity and decrease consumption of resources through self-learning artificial intelligence (AI) with innovative greenhouse applications. To achieve this aim, following objectives will be realized: (1) understanding growers’ needs and common greenhouse crop requirements; (2) designing necessary conceptual system and sensor network; (3) developing the AI software; (4) developing user interface; (5) developing a decision support system (DSS); (6) developing innovative biodegradable growth media for cultivation; (7) developing new eco-friendly methods to fight pest and pathogens; (8) demonstrating the system integrity and compatibility on a medium scale greenhouse with AI; (9) optimising solar energy via developing Low-E and solar control coatings; (10) controlling nutrient leakage to prevent eutrophication; (11) testing the established smart greenhouse system on an aquaponic and hydroponic setup. To actualise these objectives, a 2000 m2 greenhouse will be built in Turkey with the following novel technologies carrying out experiments on lettuce, tomatoes and pepper cultivation. Machine learning AI will include greenhouse specialised optimization mechanisms and sensory network; DSS providing real time data and expected outcomes for actions, pest and pathogen monitoring, early warning system, condition optimiser algorithms, grid and market connected cost calculator; integrated pest and pathogen management owing to image processing and robotic tools. SusMedHouse will also include sunlight and lighting optimisation with the solar control coatings and agroPV panels, real time biosensor and biodegradable growth media development from circular waste streams to diminish the resources used and boost the efficiency. All these systems will be developed by SusMedHouse Consortium with multidisciplinary approach by an experienced team, which is an adept combination of academics, R&D companies and an end-user. The SusMedHouse Consortium is composed by 7 partners from 6 different countries across Europe and the Mediterranean, grouping the entities (CNR, AR&TeCS as coordinator, Antalya Tarım, WOLA, AVIPE, Fraunhofer ISE, and PROTEUS) who focus exactly on those innovative approaches needed in the development and implementation of SusMedHouse Greenhouse Technologies. Thus, the consortium combines the highest expertise from experienced research organizations and SMEs in the field of development and implementation of innovative technologies applied in the Agriculture field and Greenhouse environment. The idea is to combine the best theoretical and practical expertise available in the field in Europe and the Mediterranean region to achieve optimal outcomes in the project.
WEBSITE ADDRESS: https://susmedhouse.eu/

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075 5014540

https://www.forestnavigator.eu/index.html

ForestNavigator aims at assessing the climate mitigation potential of European forests and forest-based sectors through modelling of
policy pathways, consistent with the best standards of LULUCF
reporting, and informing the public authorities on the most suitable
approach to forest policy and bioeconomy. With a primarily European scope, ForestNavigator zooms into carefully selected EU
Member States to enhance the consistency of the EU and national
pathways, but the project also zooms out towards the global scale,
and selected key EU trading partners, accounting for extra-EU future drivers and potential leakage effects.
The project will rely on a newly developed integrated policy modelling framework for the EU forests and forest bioeconomy covering i) all relevant mitigation strategies from forest management to energy and material substitution, ii) climate change impacts, adaptation, and natural disturbances, iii) biophysical climate feedbacks, iv) systematically accounting for impacts on biodiversity, forest ecosystem services, and other forest functions, incl. jobs and green growth. To increase the accessibility of the models and pathways assessments, their understanding and transparency, a novel decision-making platform will be established consisting of the web-based ForestNavigator Portal, and a community of policy-makers, national authorities, and modelers, the Forest Policy Modelling Forum.
To reach its ambitious objectives, ForestNavigator will i) harmonize,
integrate and continuously update existing datasets by, including
national inventories with new remote sensing data and models ii) start from complex forest and climate models and through
emulators build them into operational policy modelling tools, iii)
integrate biophysical and socio-economic information, iv) consider
EU forests and forest bioeconomy in the broader context of other land use and economic sectors, v) rely on input from policy makers and other stakeholders.

Dott. Alessio Collalti

075 5014541

OptForEU (H2020)

Significant reductions in anthropogenic CO2 emissions and increases in CO2 sinks are needed to meet the 1.5?C threshold for global warming set out in the Paris Agreement and reach the
climate-neutrality goal of the European Green Deal by 2050. The CO2 sink provided by forests partially offsets the rise in anthropogenic CO2 emissions, providing a large-scale buffer to climate change. Depending on their characteristics and local circumstances, forests may range from net CO2 sinks to sources. The project ? OPTimising FORest management decisions for a low-carbon, climate resilient future in Europe? (OptFor-EU) will build a Decision Support System (DSS) to provide forest stakeholders and citizens with tailored options for optimising decarbonisation and other Forest Ecosystem Services (FES) across Europe. Based on exploitation of existing data sources, use of novel Essential Forest
Decarbonisation Variables and relationships between climate drivers,
forest responses and ecosystem services, OptFor-EU has five
specific objectives: (1) Provide an improved characterisation of the
forest-climate nexus and FES; (2) Utilise end-user focussed
process modelling; (3) Empower forest end-users to make informed decisions to enhance forest resilience and decarbonisation; (4) Provide a novel DSS service; and (5) Achieve measurable gains towards the European Green Deal objectives. Based on a supply- demand approach, the methodology combines an iterative process of data consolidation, modelling, and co-development of solutions alongside stakeholders. The DSS will be designed and tested at 8 case study areas, to provide a ready-to-use service, near to operational (TRL7) and up scaled to European level, while a user adoption plan will maximise the societal and business impact. OptFor-EU will be implemented through 7 interconnected Work Packages, by a consortium of 16 partners from 9 European countries holding excellent interdisciplinary expertise, and a very good gender balance.

Dott. Alessio Collalti

075 5014541