Abstract
The paddy straw was collected in the form of bales with three mechanical process CI (stubble shaver + rectangular baler), CII (stubble shaver + rake + rectangular baler), and CIII (stubble shaver + round baler) and straw yield prediction modelling and sensitivity analysis based on input and output energy is investigated using the Cobb–Douglas production function and marginal physical productivity (MPP) method. For each process, model I is divided into direct and indirect energies and model II consisted of renewable and non-renewable energies sources. The MPP value of direct, indirect, renewable and non-renewable energy sources was found to be 1.79, 1.38, − 10.57, and 1.36; 1.77, 3.32, 6.03, and 1.87; 5.86, 2.31, − 4.69, and 6.01 for CI, CII and CIII, respectively. Model I was more sensitive towards direct energy, whereas model II was sensitive towards non-renewable energy sources in each process. For CIII, the return to scale was increasing, but for CI and CII, it was declining. The contribution of direct and non-renewable energy sources was fairly dominating over indirect and renewable energy sources for each selected process. The maximum energy productivity and minimum specific energy were observed in CI whereas maximum net energy gain was observed in CII. The GHG emission was minimum in CII for the baler machine as compared to CI and CIII. The results of the study will aid academics and policymakers in optimising energy inputs to increase output energy while reducing pollution by avoiding the burning of paddy straw.
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Authors gratefully acknowledged cooperative farmers of Moga district, Punjab, India in recognition of their honest and sincere help in conducting the presented work.
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Conceptualization: AS, Methodology: AS, Formal analysis: AS, Investigation: AS, Resources: AS and ASB, Data curation: AS, Writing original draft preparation: AS, Writing, review, and editing: AS and ASB, Visualization: AS, Supervision: AS and ASB, Funding acquisition: ASB.
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Sharma, A., Brar, A.S. Energy input–output modeling and sensitivity analysis for on-farm mechanically paddy straw bales formation. Paddy Water Environ 20, 255–264 (2022). https://doi.org/10.1007/s10333-021-00888-x
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DOI: https://doi.org/10.1007/s10333-021-00888-x