Spatial data warehouses and Spatial OLAP systems are business solutions that can be used for environmental applications. Indeed, in order to better assess the impacts of human activities on the environment, many spatio-temporal data should be collected in order to calculate indicators at different levels of aggregation. Spatial OLAP tools are well adapted to analyze these indicators in a multi-dimensional way for identifying and implementing policies to improve practices in order to minimize impacts. In this study, we focus on farms energy consumption in order to identify the tasks and work environments that consume the most energy. We show how SOLAP tools can be used for the spatio-multidimensional analysis of these indicators, and the research issues related to agricultural data warehousing and analysis process.