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Pathfinder
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True Pathfinder
was developed by
Jozef Stefan Institute
with project partners
from
True project
to assess the sustainability of the agri-food chain defined by three sustainability pillars/aspects (environmental, social and economic) and their intersections (bearability, equitability and viability). In addition, these sustainability aspects are assessed for each link of the chain as well. The DSS is developed primarily for policy makers and researchers , committed to transition to sustainable agri-food chains.
The main goal
Developed within
Horizon 2020
Powered by
DEXiWare
EASY TO USE
REAL-DATA VALIDATED
A purposely designed interactive interface to grant users smooth access to what is a complex evidence based DSS.
The DSS models are validated against real data from case studies within the project TRUE.
VALUABLE OUTPUT
Assessing and improving the sustainability of the entire legume agri-food chain and its individual links, as well as assisting the decision making process for achieving long-term sustainability.
KNOWLEDGE DRIVEN
The DSS is a culmination of complex models built by expert contributions from multidisciplinary backgrounds.
A Decision Support System (DSS)
for sustainability assessment
of legume agri-food chains
Start
Start using
TRUE
Pathfinder
Start
The project TRUE (“TRansition paths to sUstainable legume based systems in Europe”) is co-funded by the Horizon 2020 Programme of the European Union. The overall goal of TRUE is to identify the best routes, or “transition paths” to increase sustainable legume cultivation and consumption across Europe.
Sophisticated status quo analysis and advanced modelling approaches combined with data generated from 24 Case Studies and transdisciplinary knowledge-exchange will lead to concrete innovations and to a final Decision Support Tool for primary producers, agronomists, processors, associated businesses and decision makers to help determine a range of options for successful transitions that include a variety of legume species and processing approaches to match the pedo-climatic zones and farm network types.
A range of crop management strategies will be optimized, environmental (including water quality) and socio-economic impact will be assessed, and a Decision Support System built on resource efficiency analysis data will assist field testing of genotype x management practices, and transfer to farmers.