Technologies such as blockchain, big data, and the Internet of Things provide new opportunities for improving and scaling up the collection of life cycle inventory (LCI) data. Unfortunately, not all new technologies are adopted, which means that their potential is not fully exploited. The objective of this case study is to show how technological innovations can contribute to the collection of data and the calculation of carbon footprints at a mass scale, but also that technology alone is not sufficient. Social innovation is needed in order to seize the opportunities that these new technologies can provide. The result of the case study is real-life, large-scale data collected from the entire Dutch dairy sector and the calculation of each individual farm’s carbon footprint. To achieve this, it was important to (1) identify how members of a community can contribute, (2) link their activities to the value it brings them, and (3) consider how to balance effort and result. The case study brought forward two key success factors in order to achieve this: (1) make it easy to integrate data collection in farmers’ daily work, and (2) show the benefits so that farmers are motivated to participate. The pragmatic approach described in the case study can also be applied to other situations in order to accelerate the adoption of new technologies, with the goal to improve data collection at scale and the availability of high-quality data.

The demand of consumers and retailers for sustainably produced horticultural products is increasing.Life Cycle Assessment (LCA), or environmental footprint analysis, is a widely acknowledged methodology to assess, benchmark and monitor the environmental impact. Therefore, all supply chain partners are increasingly asking for footprint calculations of horticultural products. Because no harmonised methodology is available, the footprint calculations based on various methodological choices make those difficult to interpret. The project is carried out in the framework of a Public-Private Partnership project called 'Methodology for environmental footprint'. This report delivers the set of methodological rules for calculating the environmental footprint of horticultural products and is primarily meant for professionals with moderate knowledge of LCA. The development of the methodology follows as much as possible the most recent Guidance for developing Product Environmental Category Rules (PEFCR) published by the European Commission. This Hortifootprint Category Rules guidance suggests a 'flexible' approach, giving practitioners flexibility to 1) define the system boundaries of the study to be performed and 2) select the secondary data to be used as background to model the different life cycle stages in scope. Although this flexibility makes HFCR suitable for a broader set of use cases, it has as a drawback that it only allows for comparisons within the same study, provided that the same background data and scope definition are chosen.