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Open AccessJournal ArticleDOI

Design and Realization of Low Cost Control for Greenhouse Environment with Remote Control

Lukas Bajer, +1 more
- 01 Jan 2015 - 
- Vol. 48, Iss: 4, pp 368-373
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TLDR
The selected concept is created by the Arduino platform, which uses expansion modules for data acquisition and visualization to control the solution, and is sufficient for home automation and is useful for a wide range of potential customers.
About
This article is published in IFAC-PapersOnLine.The article was published on 2015-01-01 and is currently open access. It has received 32 citations till now. The article focuses on the topics: Home automation & Control unit.

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Citations
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Journal ArticleDOI

Smart farming IoT platform based on edge and cloud computing

TL;DR: A flexible platform able to cope with soilless culture needs in full recirculation greenhouses using moderately saline water is proposed, based on exchangeable low-cost hardware and supported by a three-tier open source software platform at local, edge and cloud planes.
Journal ArticleDOI

The Digitisation of Agriculture: a Survey of Research Activities on Smart Farming

TL;DR: This work provides a survey of the most recent research activities, in the form of both research projects and scientific literature, with the objective of showing the already achieved results, the current investigations, and the still open challenges.
Journal ArticleDOI

Energy efficient operation and modeling for greenhouses: A literature review

TL;DR: In this article, a review of existing strategies on energy efficient control operation and state-of-the-art energy simulation for greenhouses is presented, along with several areas in which future research has the potential to reduce greenhouse energy consumption and carbon footprint.
Journal ArticleDOI

Low-Cost Fuzzy Logic Control for Greenhouse Environments with Web Monitoring

TL;DR: The design and implementation of a low-cost system for monitoring and remote control of a greenhouse using fuzzy logic and the use of resources for a gable roof greenhouse prototype was optimized.
Journal ArticleDOI

Systematic review of Internet of Things in smart farming

TL;DR: The architecture of smart farming is studied and different smart farming techniques are classified into three categories, namely, IoT‐based agricultural monitoring and controlling system, automatic irrigation system, and plant disease monitoring system.
References
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Journal ArticleDOI

Design of an accurate, low-cost autonomous data logger for PV system monitoring using Arduino™ that complies with IEC standards

TL;DR: A new data logger using the Arduino open-source electronic platform was developed to solve the current problem of monitoring photovoltaic systems at low-cost, especially in remote areas or regions in developing countries, and it exhibits comparable performance to commercial systems.
Book ChapterDOI

Mobile Monitoring Stations and Web Visualization of Biotelemetric System - Guardian II

TL;DR: The main area of interest of as discussed by the authors is to provide solution which can be used in different areas of health care and which will be available through PDAs (Personal Digital Assistants), web browsers or desktop clients.
Journal ArticleDOI

Modern smart device-based concept of sensoric networks

TL;DR: Sensorial framework is described, which is dealing with the current aspects of technology, sociology, and usability in daily life usage of ubiquitous mobile devices with sensors, and arising computed and energy power.
Journal ArticleDOI

Experimental study of an air conditioning system to control a greenhouse microclimate

TL;DR: In this article, a thermal model is developed to investigate the possibility to use the ground thermal energy for the greenhouse heating or cooling, and a control system of the ground heat storing is integrated in a chapel greenhouse located in the premises of the Technology and Research Energy Center, Tunisia.
Journal ArticleDOI

A Low-Cost Real Color Picker Based on Arduino

TL;DR: The TCS3414CS color sensor (I2C Sensor Color Grove), a system for capturing, processing and color management that allows the colors of any non-self-luminous object using a low-cost hardware based on Arduino, is presented in this paper.