Business School, Fuyang Normal University, Fuyang 236000, China.
Business School, Henan Normal University, Xinxiang 453000, China.
J Environ Public Health. 2022 Sep 25;2022:2811119. doi: 10.1155/2022/2811119. eCollection 2022.
To further promote the modernization of agriculture and the prosperity of green industry, the analyses are made on the intensive level of agriculture by using spatial econometric model under the Internet of Things (IoT), and the optimal defense strategy is adopted for edge network equipment to ensure the security of agricultural information. Initially, the present work introduces the related concepts of agricultural intensive development and analyzes the important role of IoT in the development process of agricultural modernization. Next, it briefly explains the spatial econometric analysis method, introduces two basic spatial analysis models-spatial lag model (SLM) and spatial error model (SEM), and explains their principles in detail. Then, it signifies the characteristics of IoT and edge computing (EC) and designs the optimal defense strategy of edge network equipment from the perspective of IoT. Finally, the simulation experiment is carried out based on the edge network defense strategy, and the spatial econometric analysis is carried out by taking the agricultural intensive development of counties in a Chinese province as an example. The experimental results show that with the increase of the number of edge network devices, the optimal strategy of edge network defense can be adopted while consuming certain computing resources. The agricultural technology input and intensive level in the jurisdiction have high spatial correlation, so it is necessary to establish a spatial econometric model for analysis. Additionally, the statistics of SLM is higher than that of SEM, which shows that SLM can better reflect the technology investment and spatial correlation than SEM does. Both industrial and agricultural division of labor and agricultural production link division of labor can promote the level of intensification, among which the promotion of industrial and agricultural division of labor is not very significant, while the promotion of agricultural production link division of labor is very significant.
为了进一步促进农业现代化和绿色产业的繁荣，利用物联网（IoT）下的空间计量经济学模型对农业集约化水平进行了分析，并采用最优防御策略对边缘网络设备进行了分析，以确保农业信息的安全。首先，本工作介绍了农业集约化发展的相关概念，并分析了 IoT 在农业现代化发展过程中的重要作用。其次，简要说明了空间计量经济学分析方法，介绍了两种基本的空间分析模型——空间滞后模型（SLM）和空间误差模型（SEM），并详细解释了它们的原理。然后，指出了 IoT 和边缘计算（EC）的特点，并从 IoT 的角度设计了边缘网络设备的最优防御策略。最后，基于边缘网络防御策略进行了仿真实验，以中国某省各县的农业集约化发展为例进行了空间计量经济学分析。实验结果表明，随着边缘网络设备数量的增加，可以在消耗一定计算资源的同时采用最优的边缘网络防御策略。管辖范围内的农业技术投入和集约化水平具有很高的空间相关性，因此有必要建立空间计量经济学模型进行分析。此外，SLM 的统计量高于 SEM，这表明 SLM 比 SEM 更能反映技术投入和空间相关性。工农业分工和农业生产环节分工都可以促进集约化水平的提高，其中工农业分工的促进作用不是很明显，而农业生产环节分工的促进作用非常明显。
