There is a growing demand for moving towards sustainable agri-food systems which per nature covers a complex network of activities and domains; such systems will benefit from multi-criteria decision analysis (MCDA) methods. Although some reviews on MCDA in agri-food research have been published, none of them covered the whole value chain. In this article, a corpus of 954 articles published by INRA scientists from 2007 to 2017 was used to study the diversity and potentiality of MCDA techniques. For the first time, experts from more than 10 agri-food domains worked altogether to annotate the articles, carry out a multivariate analysis, and finally interpret the statistical results to identify the specificities of certain domains and the complementarities between domains and to suggest avenues for future agri-food research. One-third of the studies were based only on a list of indicators, even when their purpose was to choose, sort, or rank options. Regardless of the scientific discipline in the agri-food sector, MCDA studies rarely considered temporal dynamics, spatial scale changes, or stakeholder contributions. As the agri-food system becomes increasingly sustainable in the near future, the use of MCDA methods will accelerate. To become more effective, they will have to include ecosystem services, even outside the scope of ecological studies. Similarly, MCDA studies will need to include participatory science to involve stakeholders (i.e., public authorities, governmental agencies) and end-users (i.e., farmers, producers, industrials, consumers) in the construction of the multi-criteria evaluation but also in the resulting decisions.

对建立可持续农业食品系统的需求日益增长，该系统本质上涵盖了复杂的活动和领域网络；这样的系统将受益于多标准决策分析（MCDA）方法。尽管已经发表了有关MCDA在农业食品研究中的一些评论，但都没有涵盖整个价值链。在本文中，使用了INRA科学家从2007年至2017年发表的954篇文章的语料库来研究MCDA技术的多样性和潜力。来自10多个农业食品领域的专家首次共同工作，对文章进行注释，进行多变量分析，最后解释统计结果，以识别某些领域的特异性和领域之间的互补性，并为解决方案提供建议未来的农业食品研究。三分之一的研究仅基于指标列表，即使其目的是选择，排序或排列选项。不管农业食品领域的科学学科如何，MCDA研究都很少考虑时间动态，空间尺度变化或利益相关者的贡献。随着农业食品系统在不久的将来变得越来越可持续，MCDA方法的使用将加速。为了提高效率，它们将必须包括生态系统服务，甚至超出生态学研究的范围。同样，MCDA研究将需要包括参与性科学，以使利益相关者（即公共当局，政府机构）和最终用户（即农民，生产者，工业企业，消费者）参与到多标准评估的构建中，而且还要参与结果决定。