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Spatial energy data acquisition for agricultural sector. Latvia case study

The agricultural sector consumes significant amounts of energy and resources to produce food and other products. Different complex modeling methods have been used to forecast future development trends in agriculture. However, it is crucial to collect in-depth sectoral data to analyse the energy consumption by region and identify different types of energy used for different agricultural processes. The article presents the methodology for data acquisition in the particular sector for the Latvia case study. After processing the spatial data on different agricultural subsectors, it can be concluded that Zemgale region is the largest energy consumer in the Latvian economy. By sub-sector, crop production is the largest energy consumer. The most common energy sources are diesel, biogas, and electricity. Data can be further used for different energy policy models and energy consumption forecasting.