RESUMEN
This study aimed to assess the environmental effectiveness of vineyards utilising on-site weather stations integrated with a decision support system (DSS), and to identify the critical hotspots in smart farms that have already obtained integrated or organic certification. For this purpose, Life Cycle Assessment (LCA) methodology was applied. The research comprised three smart farms employing on-site weather stations and a traditional farm without advanced technologies, which served as a benchmark. The analysis revealed variations in environmental footprints driven by differences in farm management practices and soil characteristics. The results highlighted that smart farms, in compliance with integrated or organic certifications, focus on reducing inputs such as agrochemicals or water consumption. However, these reductions could shift the environmental burden to other impacts, such as those related to machinery use, which remained the most critical aspect across all vineyards considered. In some smart farms, critical issues involve other aspects, such as irrigation and fertilisation. The lack of awareness about the potential environmental impacts of the adopted technical options could make smart farms more impactful than traditional farms. Interestingly, this study found that solely implementing advanced technologies could fall short of achieving ecological objectives. This study emphasises the significance of utilising LCA as a valuable tool to support farmers in making informed decisions while adopting technological strategies to achieve environmentally sustainable goals.
RESUMEN
Purpose: Social Life Cycle Assessment (S-LCA) is a methodology that can help companies administer their supply chain and promote both social responsibility and sustainability through the assessment of both positive and negative social and socio-economic aspects of products during their entire life cycle. Here, a case study was performed to test an S-LCA database as a comparative assessment tool of two products, i.e. the traditional almond sugared confetti and Tenerelli sugared almonds, made by the same company. Methods: The S-LCA case study was carried out by using the Product Social Impact Life Cycle Assessment (PSILCA) database, for the two products on openLCA software. Results and discussion: The risk assessment helped to identify the most affected impact categories and which product influences the most on them as well as the categories on which the foreground processes have the greatest impact. For both the analysed products, the category "Contribution of the sector to economic development" is marginally affected. Overall, the production of Confetti entails higher medium risk hours regarding some categories (e.g. "Public sector corruption", "Promoting social responsibility", "Migration flows"), whilst for others, it is the Tenerelli that affect the most (e.g. "Biomass consumption", "Trade unionism"), depending on the different inputs used. Finally, the results are not very influenced by foreground processes, and the social risks are therefore related to upstream processes for both products. Conclusions: The comparison can become more useful for products of the same or similar functions and the same audience but of different inputs and therefore different supply chains. Indeed, it could be useful for decision-making with the aim of selecting between various possible options the one that entails lower social risks.