Predicting output energy and greenhouse gas emissions in peanut production: A case study in Astaneh-Ashrafiyeh county of Guilan province

Document Type : Research Paper

Authors

1 Assistant Professor, Department of Mechanical Engineering of Biosystems, Faculty of Agriculture, Razi University, Kermanshah, Iran

2 Assistant Professor, Department of Agricultural Economics and Rural Development, Faculty of Agriculture, Lorestan University, Khorramabad, Iran

3 Assistant Professor, Department of Agricultural Machinery Engineering, Faculty of Agricultural Engineering and Technology, College of Agriculture and Natural Resources, University of Tehran, Karaj, Iran

Abstract

Surveying of energy consumption, greenhouse gas emissions and their modeling using artificial intelligence methods in peanut production of Astaneh-Ashrafiyeh county of Guilan province were investigated in this research. The data used in the study were collected using a face-to-face questionnaire in 2019 production period. Results showed the total inputs energy and output energy were 19248 and 87210 MJ ha-1 with energy use efficiency as 4.53, respectively and the highest consumption of inputs was belonged to chemical fertilizers with 45%. Also, in production process, about 571 kgCO2eq. ha-1 was emitted that fuel with 57% had the highest share of emissions. The modeling results showed that in comparison with the results of artificial neural network, the performance of the ANFIS model is better in predicting the output energy and greenhouse gas emissions of peanut production.

Keywords

References

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Iranian Journal of Agricultural Economics and Development Research
Volume 53, Issue 1
February 2022
Pages 145-162

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