Sustainable crop production implies high efficiency of field operations and protection of the soil as a natural resource. Soil physical fertility is threatened by compaction, especially deep soil horizons for which remediation is more critical (Schjonning et al., 2015). To avoid soil compaction and ensure field operations efficiency, including satisfactory crop production in a cost-effective way, the prediction of field readiness, defined as the combination of soil workability and soil trafficability, is of prime interest (Edwards et al., 2016). The currently available tools are generally focused on only one part of the problem (either soil compaction risk in deep soil horizon or possibility of efficient field operation), and are usually built for a specific pedoclimatic context, which raises question of their application in a broader context. They also need to be upgraded to consider agricultural equipment evolution. The J-DISTAS project (2019-2022) aims at creating a prototype of interoperable tool to predict field readiness. This tool will combine: (i) the evaluation of the soil compaction risk using the Terranimo® model (terranimo.dk) and the CHN crop model, and (ii) expert models estimating soil water potential and soil workability (Ugarte Nano et al., 2021). This decision support tool will allow strategic decisions based on field readiness consideration such as definition of cropping systems in the context of global changes, optimization of the use of agricultural machinery, etc. We will present i) the J-Distas tool’s ability to predict field readiness, ii) its sensitivity to input data, and iii) an example of its use.