{"title":"Intelligent agricultural monitoring system based on lot","authors":"Fugang Li","doi":"10.1109/ITOEC53115.2022.9734462","DOIUrl":null,"url":null,"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.","PeriodicalId":127300,"journal":{"name":"2022 IEEE 6th Information Technology and Mechatronics Engineering Conference (ITOEC)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE 6th Information Technology and Mechatronics Engineering Conference (ITOEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITOEC53115.2022.9734462","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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.