Quantifying the impact of a smart farming system application on local-scale air quality of smallhold farms in Greece

• DOI: 10.1007/s11869-022-01269-x
• Publication Date: 2022-10-10T12:57:20Z
• Authors: Evangelia Fragkou; George Tsegas; Athanasios Karagk...; Fotios Barmpas; Nicolas Moussiopo...
• Keywords: Baseline (sea); Criteria air contaminants

Abstract Smart farming (SF) has emerged as a scientific approach exploiting technology advances for the management of agricultural practices, focusing on control resources and chemicals used. There is still limited evidence in literature regard to efficiency SF, particularly targeted environmental issues, such air pollutant emissions from activities. The present paper expoits quantitative data collected questionnaires farmers 6 pilot areas Greece, participating LIFE GAIA Sense project. Emissions levels were calculated two consecutive years these areas, namely 2019 (baseline year) 2020, which first SF application year. methodology calculating realistic data, following combined tier 1/tier2 presented. To this purpose, detailed activity specific related activities acquired, based responses questionnaires. Calculated used input quality modeling simulations examine reducing local concentrations. results show significant concentrations reductions five out six all pollutants greenhouse gases studied, due decrease fuel consumption N fertilizer applied, result advice. Particularly NH 3 , an concern its health impacts, emission around 30% (and by up almost 60%) calculated.