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基于Blynk物联网和ThingSpeak的灌溉监测与控制系统的设计与开发。

Design and development of an irrigation monitoring and control system based on blynk internet of things and thingspeak.

作者信息

Saputri Fahmy Rinanda, Linelson Ricardo, Salehuddin Muhammad, Nor Danial Md, Ahmad Muhammad Imran

机构信息

Department of Engineering Physics, Universitas Multimedia Nusantara, Tangerang, Indonesia.

Department of Electronic Engineering, Universiti Tun Hussein Onn Malaysia, Batu Pahat, Johor, Malaysia.

出版信息

PLoS One. 2025 Apr 17;20(4):e0321250. doi: 10.1371/journal.pone.0321250. eCollection 2025.

DOI:10.1371/journal.pone.0321250
PMID:40245364
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12005828/
Abstract

The scarcity of water resources exacerbated by climate change poses a major challenge for sustainable agriculture. This study presents an Internet of Things (IoT)-enabled irrigation system designed for real-time monitoring and precise water control. Using the Blynk platform and ThingSpeak for data management, the system integrates sensors for soil moisture, temperature, and humidity with a NodeMCU module to optimize irrigation practices. Initial results demonstrate the system's effectiveness in improving water use efficiency and supporting sustainable agricultural practices, providing a low-cost, accessible solution for small and medium-scale farmers.

摘要

气候变化加剧了水资源短缺,这给可持续农业带来了重大挑战。本研究提出了一种基于物联网(IoT)的灌溉系统,旨在实现实时监测和精确的水分控制。该系统利用Blynk平台和ThingSpeak进行数据管理,将土壤湿度、温度和湿度传感器与NodeMCU模块集成在一起,以优化灌溉实践。初步结果表明,该系统在提高用水效率和支持可持续农业实践方面具有有效性,为中小型农户提供了一种低成本、易于使用的解决方案。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0787/12005828/f2951d3fb50b/pone.0321250.g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0787/12005828/e3a5fb2f8547/pone.0321250.g001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0787/12005828/f2951d3fb50b/pone.0321250.g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0787/12005828/e3a5fb2f8547/pone.0321250.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0787/12005828/3d45cb08f423/pone.0321250.g002.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0787/12005828/7dbd05354685/pone.0321250.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0787/12005828/79a426eb7edd/pone.0321250.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0787/12005828/362247b580ff/pone.0321250.g006.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0787/12005828/f2951d3fb50b/pone.0321250.g009.jpg

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引用本文的文献

1
Correction: Design and development of an irrigation monitoring and control system based on blynk internet of things and thingspeak.更正:基于Blynk物联网和ThingSpeak的灌溉监测与控制系统的设计与开发。
PLoS One. 2025 Jun 10;20(6):e0326137. doi: 10.1371/journal.pone.0326137. eCollection 2025.

本文引用的文献

1
IoT-Based Smart Irrigation Systems: An Overview on the Recent Trends on Sensors and IoT Systems for Irrigation in Precision Agriculture.基于物联网的智能灌溉系统:精准农业中传感器和物联网系统在灌溉方面的最新趋势综述。
Sensors (Basel). 2020 Feb 14;20(4):1042. doi: 10.3390/s20041042.
2
Effects of soil moisture on the temperature sensitivity of soil heterotrophic respiration: a laboratory incubation study.土壤水分对土壤异养呼吸温度敏感性的影响:一项实验室培养研究。
PLoS One. 2014 Mar 19;9(3):e92531. doi: 10.1371/journal.pone.0092531. eCollection 2014.