Design and Architecture of Smart Agriculture System based on Big Data Analytics
Guanyu Zhu, Thelma Domingo Palaoag, Xia Shao · 2023
The rise of smart agricultural systems marks the digital transformation of the agricultural sector, offering endless possibilities for improving agricultural productivity, sustainability and food supply chain management. The technical architecture of the intelligent agricultural system is the main technical support for realizing the functions of the whole system, and the architecture of the agricultural monitoring system for a long time in the past, mainly has three layers, namely the perception layer, the transmission layer and the application layer, to form the basic technical architecture of the system. This study aims at the current low level of agricultural intelligent management, lack of data analysis and inappropriate processing of collected data, and combines the current Internet of Things, big data and artificial intelligence and other cutting-edge technologies in the practical application of agricultural production and management, on the basis of which to design an intelligent agricultural system based on big data analysis. The system adds a data layer and a control layer compared with the previous agricultural system architecture, and the overall smart agricultural system architecture includes a perception layer, a transmission layer, a data layer, a control layer and an application layer. In this way, the intelligent agricultural system can monitor all kinds of parameters in the process of crop growth in real time, including temperature and humidity, soil composition, light intensity and other parameters affecting the growth of crops, through the data layer, the monitoring data to analyse the trend of its changes, and then through the control layer, the changes in the relevant parameters to make adjustments in order to ensure that the crops can be grown in the optimal environment. Thus, the purpose of improving crop yield and saving labour is achieved.