Input Optimization for Energy Savings in Soybean Crop: A Critical Assessment in Central India

Efficient use of agricultural inputs is critical for increasing energy productivity and promising sustainable crop production. This study provides critical evaluation of input optimization options for soybean cultivation, with energy usage quantification, identifying inefficiencies, and assessment on possible savings. A survey among soybean producers was conducted to determine energy consumption pattern. The Banker-Charnes-Cooper input-oriented model was adopted and projected energy for various sources was calculated for fuel (3376±805 MJ ha^-1), machinery (342±112 MJ ha^-1), human (345±248 MJ ha^-1), chemical (5033±591 MJ ha^-1), and seed (1523±356 MJ ha^-1), with possible overall energy saving of 5.6%. Data envelopment analysis (DEA) is used to provide meaningful comparisons between decision-making units. Greater variability was seen in chemical, fuel, and seed use; this indicates a need for better control of these inputs. DEA results show that fuel and chemical inputs offer the highest potential for energy savings, accounting for 89% of total possible savings. This study highlights the potential for energy saving in soybean cultivation through effective energy management and depicts the adaptation of decision-support tools to increase soybean production sustainability.