When trying to optimize the sustainability performance of farms and farming systems, a consideration of trade-offs and synergies between different themes and dimensions is required. The aim of this paper is to perform a systematic analysis of trade-offs and synergies across all dimensions and themes. To achieve this aim we used the Sustainability Monitoring and Assessment Routine (SMART)-Farm Tool which operationalizes the Sustainability Assessment of Food and Agriculture Systems (SAFA) Guidelines by defining science-based indicator sets and assessment procedures. It identifies the degree of goal achievement with respect to the 58 themes defined in the SAFA Guidelines using an impact matrix that defines 327 indicators and 1769 relations between sustainability themes and indicators. We illustrate how the SMART-Farm Tool can be successfully applied to assess the sustainability performance of farms of different types and in different geographic regions. Our analysis revealed important synergies between themes within a sustainability dimension and across dimensions. We found major trade-offs within the environmental dimension and between the environmental and economic dimension. The trade-offs within the environmental dimension were even larger than the trade-offs with other dimensions. The study also underlines the importance of the governance dimension with regard to achieving a good level of performance in the other dimensions.

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Increasing consumer awareness on sustainability issues has led to the growing adoption of voluntary sustainability standards in agriculture. This study assesses the sustainability performance of typical conventional and certified coffee production systems in Brazil and Ethiopia based on expert judgements. We apply the SMART-Farm Tool, which represents an operationalization of the SAFA (Sustainability Assessment of Food and Agriculture systems) framework of FAO. Data were collected through expert interviews and uncertainties were estimated using Monte-Carlo simulations. A higher sustainability performance of the certified systems was observed regarding product information (+37%) and transparency (+39%) in Ethiopia. In Brazil, the certified system showed a higher overall sustainability performance compared to the conventional system in the environmental dimension and in some social and governance aspects, e.g., gender equality (+49%) and public health (+36%). Geographical or political conditions and farm type also had a strong influence on the observed sustainability performance. Typical smallholder production systems in Ethiopian coffee production performed comparable in the environmental dimension since all were low-input systems due to economic constraints. The conventional Brazilian system showed a better performance concerning employment relations (+14%) and profitability (+13%), as compared to the certified Brazilian systems, because larger farms were more likely to employ permanent staff and benefit from economies of scale.

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As so far no farm-level sustainability assessment tool has been adjusted to the Hungarian circumstances which measures all aspects of sustainability our aim was to develop a conceptual framework for adaptation process. Main steps were defined and literature review was conducted. As a result of this SMART was selected as the most suitable assessment tool which will be adapted to the Hungarian needs applying Nominal Group Technique for expert involvement and Propensity Score Matching for farm sample selection.

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