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Data Science Approach for Carbon Farming Scenarios (DaSACaF)

Project
The DaSACaF project aims to develop a comprehensive model for evaluating the impact of management, policy and strategic scenarios on carbon
sequestration and for optimizing carbon farming practices, keeping into account the trades-offs involved in the decision-making process. The DaSACaF project will explore advanced data science approaches to combine interdisciplinary datasets. methods, and practical knowledge into an innovative modelling framework incorporating the following key methodological components.
  • Overview
  • Research Areas
  • Publications

Overview

Contributors

BENFENATI ALESSANDRO   Scientific Manager  

Departments involved

Dipartimento di Scienze e Politiche Ambientali   Principale  

Type

CAR_RIC - Bandi Fondazione Cariplo

Funder

FONDAZIONE CARIPLO
External Organization Funding Organization

Date/time interval

March 1, 2025 - February 28, 2027

Project duration

24 months

Research Areas

Concepts


Settore MATH-05/A - Analisi numerica

Keywords

Process based crop modeling; data integration; climate change scenarios; Deep Learning for Precision Agriculture
No Results Found

Publications

Outputs

Plug and Play Splitting Techniques for Poisson Image Restoration 
JOURNAL OF MATHEMATICAL IMAGING AND VISION
2025
Academic Article
Open Access
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