ABSTRACT

In order to improve the effect of agricultural waste supervision and prevention and control of agricultural environmental pollution, under the concept of smart agriculture and circular economy, this paper builds a smart agricultural waste discharge supervision and prevention system based on big data technology. Moreover, this paper uses mathematical models such as the Environmental Kuznets (EKC) model and the decoupling model to study the overall scale of agricultural waste carbon emissions and its growth trend, and uses the logarithmic average Dixie Index method (LMDI) to construct a decomposition model of carbon emission driving factors to interpret the influence of each driving factor on the scale of overall agricultural waste discharge. In addition, this paper constructs the functional modules of the smart agricultural waste discharge supervision and prevention system according to actual needs, and conducts a test analysis of the system performance. The research results show that the system constructed in this paper has certain practical effects and can lay a foundation for the subsequent sustainable development of agriculture.

摘要

为提高农业废弃物监管和农业环境污染防治效果，在智慧农业和循环经济理念下，构建了基于大数据技术的智慧农业废弃物排放监管防治体系。此外，本文利用环境库兹涅茨（EKC）模型和解耦模型等数学模型研究农业废弃物碳排放的总体规模及其增长趋势，并利用对数平均迪克西指数法（LMDI）构建分解碳排放驱动因子模型解释各驱动因子对农业废弃物总体排放规模的影响。此外，本文根据实际需要构建了智慧农业废弃物排放监管与预防系统的功能模块，并对系统性能进行了测试分析。研究结果表明，本文构建的系统具有一定的实际应用效果，可为后续农业可持续发展奠定基础。