Energy audit of tobacco production agro-system based on different farm size levels in northern Iran
| Autor: | Armaghan Kosari-Moghaddam, Saeed Firouzi, Javad Zare Derakhshan |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Economics and Econometrics
Geography Planning and Development 0211 other engineering and technologies 02 engineering and technology Audit 010501 environmental sciences Management Monitoring Policy and Law 01 natural sciences Agricultural science Multilayer perceptron Production (economics) Environmental science 021108 energy Energy (signal processing) 0105 earth and related environmental sciences |
| Zdroj: | Environment, Development and Sustainability. 24:2715-2735 |
| ISSN: | 1573-2975 1387-585X |
| DOI: | 10.1007/s10668-021-01552-4 |
| Popis: | This study aimed to model the relationships between input and output energies of tobacco production in northern Iran, Guilan Province, and investigate how farm size would affect the energy use indices in the agro-system. A multilayer perceptron (MLP) neural network was designed to forecast the energy output in the tobacco agro-system. To analyze the effect of farm size, tobacco farms were divided into three groups of small-sized (˂0.5 ha), medium-sized (0.5–1 ha), and large-sized farms (˃1 ha). The findings highlighted that the total input energy and the energy use efficiency of tobacco production agro-system were 172,831.65 MJ ha−1 and 0.009, respectively. Natural gas used in the initial curing of green tobacco leaves accounted for around 60% of total input energy in the tobacco agro-system. Larger farms were significantly superior to the small-sized and medium-sized ones in energy use indicators (p ˂ 0.05). The most appropriate model to estimate the output energy of tobacco production was found to have a topology of 8-20-1. It can be concluded that the proposed MLP model is a robust tool to estimate the output energy of tobacco production in northern Iran. |
| Databáze: | OpenAIRE |
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