Intelligent agricultural monitoring system based on lot

Fugang Li
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引用次数: 3

Abstract

With the gradual attention of the state to agricultural production, as well as the rapid development of artificial intelligence, Internet of things and other science and technology. The deep integration of traditional agricultural production and Internet of things technology has injected new power into new agricultural production and brought a qualitative leap. The intelligent agriculture system proposed in this paper uses high-performance embedded MCU and configures high-precision sensors. Collect data on air environment, soil temperature and humidity, rainfall, diseases and pests, EC, pH. Use 5G network to return the data, save it in the remote server and analyze the data curve. By making an experimental prototype and collecting data analysis, we can predict the water and nutrients needed by plants in different seasons. Then customize the cultivation scheme. The effectiveness and practicability of the method are verified by a large number of experimental data. At the same time, the management platform also provides services including pest prediction, intelligent irrigation, big data prediction, agricultural logistics, online experts and so on. And greatly improve the planting efficiency and crop yield.
基于地块的智能农业监测系统
随着国家对农业生产的逐渐重视,以及人工智能、物联网等科技的快速发展。传统农业生产与物联网技术的深度融合,为新型农业生产注入了新的动力,带来了质的飞跃。本文提出的智能农业系统采用高性能嵌入式单片机,配置高精度传感器。收集空气环境、土壤温湿度、降雨、病虫害、EC、ph等数据,利用5G网络返回数据,保存在远程服务器上,分析数据曲线。通过制作实验样机和收集数据分析,可以预测植物在不同季节所需的水分和养分。然后定制栽培方案。大量的实验数据验证了该方法的有效性和实用性。同时,管理平台还提供病虫害预测、智能灌溉、大数据预测、农业物流、在线专家等服务。并大大提高了种植效率和作物产量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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