Optimizing Energy Consumption in Legume Production to Mitigate Greenhouse Gas Emissions: An Empirical Investigation

Dwijendra N.K.A.; Saptaningtyas R.S.; Mahendra S.J.; Huamán-Romaní Y.-L.; Seminario-Morales M.-V.; Sánchez-Prieto M.-G.; Qamar S.; Muda I.; Alfilh R.H.C. · Mathematical Modelling of Engineering Problems (2023) · DOI: 10.18280/mmep.100544

Resumen

Owing to the escalating utilization of agricultural inputs, energy consumption and the associated greenhouse gas (GHG) emissions have seen a significant surge. Consequently, the optimization of energy usage to mitigate environmental pollutants has emerged as a critical focus. This study employs the Data Envelopment Analysis (DEA) methodology to optimize energy consumption and reduce GHG emissions in agricultural production. Data was collected through randomized, face-to-face interviews with 200 agricultural producers in Chennai, India, in 2021. The results revealed that the total energy input for legume production was 2000 MJ/HA2 for seed, 29950 MJ/HA2 for fertilizer, and 1065 MJ/HA2 for machinery. Among the consumption components, nitrogen fertilizer, electricity, diesel fuel, and irrigation water accounted for 35%, 27%, 18%, and 9% of the total, respectively. However, under optimal input consumption conditions, the total energy requirement was determined to be 31678 MJ/HA2. Accordingly, a saving of 2.36% in total energy consumption could be achieved without compromising yield. This research underscores the potential for energy optimization in agricultural practices, contributing significantly to GHG emission reduction efforts. © (2023). All Rights Reserved.

Instituciones: Universidad Nacional Amazónica de Madre de Dios; Universidad Nacional de Frontera