Título:	Harvesting precision: developing an uncertainty strategy for an agricultural carbon footprint calculator.
Autor:	SAVIOLI, J. P. das D. FOLEGATTI, M. I. da S.
Afiliación:	J. P. das D. SAVIOLI; M. I. da S. FOLEGATTI.
Año:	2024
Referencia:	In: INTERNATIONAL CONFERENCE ON LIFE CYCLE ASSESSMENT OF FOOD, 14., 2024, Barcelona. Health food systems for a healthy planet: book of abstracts. Barcelona: Universitat de Barcelona, 2024. p. 965-967.
Descripción:	Abstract: The Embrapa-designed Footprint Pro Carbon calculator, integrated into the Bayer Pro Carbon Connect platform, plays a pivotal role in quantifying carbon emissions across agricultural processes. It encompasses both foreground (agricultural processes) and background (agricultural input production) aspects within the Life Cycle Assessment (LCA) framework. Quantifying carbon emissions within a calculator is challenging due to uncertainties and varied accountability methods. Nonetheless, addressing these uncertainties enhances the reliability, comparability, and precision of results (GHG Protocol, 2022). While LCA identifies four uncertainty types (Rosenbaum et al., 2018 - parameter, model, scenario, and relevance), we prioritize parameter uncertainty in this study. This choice is driven by the wealth of accountability methods (like GHG Protocol, 2022) and the more practical implementation within a calculator's scope. This study aims to develop a strategy for implementing uncertainty calculations specifically focusing on parameter uncertainty within the Footprint Pro Carbon calculator for agriculture.
Thesagro:	Produção Agrícola Carbono Impacto Ambiental
NAL Thesaurus:	Carbon footprint Agricultural products
Notas:	LCA Food 2024.
Tipo de Material:	Resumo em anais e proceedings
Acceso:	openAccess
Aparece en las colecciones:	Resumo em anais de congresso (CNPMA)