{"title":"Greenhouse Monitoring using ESP 8266","authors":"Innocencia Chiyanjano Zuze, Mr Pempho Jimu","doi":"10.48175/ijarsct-18445","DOIUrl":null,"url":null,"abstract":"This research presents a groundbreaking approach to greenhouse agriculture through the implementation of a monitoring and control system using the ESP8266 microcontroller with Wi-Fi connectivity. By integrating sensors to monitor critical environmental factors and automating irrigation, ventilation, and lighting systems, the proposed system optimizes crop growth conditions in real-time, leading to increased yields and resource conservation. Moreover, its remote monitoring and management capabilities empower farmers to make data-driven decisions, ensuring sustainability and resilience in the face of changing environmental conditions. Overall, this research contributes to the advancement of smart agriculture practices, offering a scalable and efficient solution to address food security challenges and adapt to evolving agricultural landscapes","PeriodicalId":472960,"journal":{"name":"International Journal of Advanced Research in Science, Communication and Technology","volume":"118 17","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Advanced Research in Science, Communication and Technology","FirstCategoryId":"0","ListUrlMain":"https://doi.org/10.48175/ijarsct-18445","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This research presents a groundbreaking approach to greenhouse agriculture through the implementation of a monitoring and control system using the ESP8266 microcontroller with Wi-Fi connectivity. By integrating sensors to monitor critical environmental factors and automating irrigation, ventilation, and lighting systems, the proposed system optimizes crop growth conditions in real-time, leading to increased yields and resource conservation. Moreover, its remote monitoring and management capabilities empower farmers to make data-driven decisions, ensuring sustainability and resilience in the face of changing environmental conditions. Overall, this research contributes to the advancement of smart agriculture practices, offering a scalable and efficient solution to address food security challenges and adapt to evolving agricultural landscapes