The analysis of energy consumption patterns in agriculture is vital because of the concern for natural resources and the adverse effects of the misuse of various energy resources on human and environmental health. The present research is an attempt on the ecological sustainability assessment of rice production in Mazandaran Province, Iran, using the emergy analysis approach and fuzzy logic. Two agricultural and economic models were used to study sustainability, using the fuzzy logic. Our assessment of rice production showed that if economic indices and the ultimate production index are used instead of agricultural factors, higher production sustainability is achieved. The total estimated emergy used for rice production was 5.34E + 16sej ha⁻¹. Renewable and nonrenewable environmental resources accounted for 8.28% and 91.72% of the total emergy, respectively. The resulting standard environmental loading ratio (43.87) and the modified environmental loading ratio (11.11) were also larger than the average values reported in similar studies elsewhere. This implies a relatively heavy pressure exerted by these crop systems on the environment. In the current study, the environmental sustainability index (0.12) and its modified version (0.46) were smaller than the average values obtained in previous studies, showing a lower average sustainability of this system. Hence, given the average sustainability and the heavy environmental load of this system, a model suiting the region can be developed, to improve energy efficiency by optimizing the labor and consuming potassium fertilizers and fuels. Finally, it is recommended that rice production in this temperate region should be performed more carefully and cautiously, especially in relation to the use of chemical fertilizers and fuels.

由于对自然资源的关注以及各种能源的滥用对人类和环境健康的不利影响，分析农业的能源消费模式至关重要。本研究是利用能值分析方法和模糊逻辑对伊朗马赞达兰省水稻生产的生态可持续性评估进行的尝试。使用模糊逻辑，使用了两种农业和经济模型来研究可持续性。我们对水稻生产的评估表明，如果使用经济指标和最终生产指标代替农业因素，则可以实现更高的生产可持续性。估计用于稻米生产的总能值是5.34E + 16sej ha ^-1。可再生和不可再生环境资源分别占能值总量的8.28％和91.72％。所得的标准环境负荷率（43.87）和修正的环境负荷率（11.11）也大于其他地方类似研究报告的平均值。这意味着这些农作物系统对环境施加了相对较大的压力。在当前的研究中，环境可持续性指数（0.12）及其修改版本（0.46）小于以前研究中获得的平均值，表明该系统的平均可持续性较低。因此，考虑到该系统的平均可持续性和沉重的环境负荷，可以开发出适合该地区的模型，以通过优化劳动力以及消耗钾肥和燃料来提高能源效率。