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

Bajer, Lukáš; Krejcar, Ondřej

doi:10.1016/j.ifacol.2015.07.062

Cited by 37 publications

(14 citation statements)

References 20 publications

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“…The main contributions of our work have been to use different types of sensors to control an automatic irrigation system. While other authors, such as [4,24], have only used soil moisture sensors, in our case we also used the rain sensor for the irrigation, as well as the storage in a microprocessor. Also, while other authors such as [3,12,24,28], have used storage in SD cards or just direct delivery to web pages, in our case we used our own storage system as a relational database management system MYSQL, to have a better and more storage of data for its later analysis.…”

Section: Discussionmentioning

confidence: 99%

“…The sensor has a pair of electrodes which are pushed into the substrate. The sensor incorporates an LED in the board that directly shows if the soil moisture level is above or below the predefined threshold [24]. The fundamental principle is to facilitate the recording of voltage values, in our case analogue values, which are used to estimate the soil moisture levels.…”

Section: Environmental Sensorsmentioning

confidence: 99%

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Environment Control with Low-Cost Microcontrollers and Microprocessors: Application for Green Walls

2019

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Green wall irrigation procedures are a particularly important and hard task, given that the quality of the green wall depends on them. There is currently a wide variety of irrigation programmers available, with a range of functions and prices, thereby replacing manual activities and making it easier to maintain green walls. This paper proposes the use of low-cost automated irrigation programmers via a freeware called Arduino. The system is based on air and substrate measurements to ensure optimal plant growth and high water-use efficiency. At certain thresholds, the irrigation system is activated. This not only makes irrigation more convenient but also helps to reduce energy consumption, increases irrigation efficiency and saves time. The data is then sent via Transmission Control Protocol using Internet of Things technology, in this case ThingSpeak. The platform compiles the data and presents them in simple graphical format, thus enabling real-time monitoring from wherever there is Internet access. Together with Arduino, the project incorporates the Raspberry pi system that operates like a database via Hypertext Transfer Protocol Wi-Fi received by a Structured Query Language (MySQL) server using Hypertext Preprocessor. These data are used for the subsequent analysis of green wall performance.

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Section: Discussionmentioning

confidence: 99%

Section: Environmental Sensorsmentioning

confidence: 99%

Environment Control with Low-Cost Microcontrollers and Microprocessors: Application for Green Walls

2019

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“…Bajer et al 77 developed Arduino‐based garden (greenhouse) monitoring system. In this system, FC‐28‐B soil moisture and humidity sensor were used.…”

Section: Iot‐based Automatic Irrigation Systemmentioning

confidence: 99%

Systematic review of Internet of Things in smart farming

Terence

Geethanjali

2020

Trans Emerging Tel Tech

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Agriculture unquestionably is one of the traditional occupations, which feeds all mankind in the world. Continuous changes are happening in the agricultural field to increase production. Researchers are applying various techniques to improve farming methods. To monitor plants even from remote places and to improve the yield of plants, Internet of Things (IoT), which is a boon in today's world, is applied in farming, in general, known as smart farming. Smart farming is a way where the farmers can monitor their field and manage farming activities from remote places. This reduces man power and increases resource utilization in farming. In this article, we have studied the architecture of smart farming and studied different smart farming techniques, also we have classified smart farming techniques into three categories, namely, IoT-based agricultural monitoring and controlling system, automatic irrigation system, and plant disease monitoring system. The review for the article is selected based on the systematic literature review method, and articles published from 2011 to 2019 are considered for review. Different IoT technologies such as sensors, gateway, communication system, user interface and experiment nature, plant type, disease type, advantages, and limitations are also reviewed. Future research direction and challenges in smart farming techniques are also discussed. Trans Emerging Tel Tech. 2020;31:e3958. wileyonlinelibrary.com/journal/ett Atzori et al 16 presented a survey on IoT techniques. In this article, the architecture, applications, and challenges of IoT technologies were discussed. Various environmental and agricultural monitoring applications were discussed. Zhang et al 17 projected various agricultural data transmission methods in his review article, namely, voice information transmission, short message service (SMS) information transmission, online information transmission, video conference information transmission, and multichannel-based information transmission techniques. Case studies, features, applications, examples, and limitations of various information transmission techniques were discussed. Kamilaris et al 18 projected survey on big data analysis in agriculture. In this article, 34 agriculture works were considered for the study and different features such as tools applied, big data algorithm used, problem and proposed solution implemented, and data used were discussed. The type of plants and experimental duration and advantages and limitation of algorithms were missing. Talavera et al 14 reviewed IoT applications in environment and agroindustrial system. The authors discussed about various IoT techniques involved in monitoring, communication, logistics, energy and resource management in environment monitoring, and agroindustrial system. In this study, the authors approached all the IoT techniques with following two questions: what is the primary technical solution of IoT in environmental monitoring and agroindustrial system and which methodology and IoT components such as sensors, actuato...

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“…Bajer and Krejcar [83] designed a low cost device for remote control of greenhouse environment using Arduino MEGA 2560 platform, FC-28-B sensors, actuators control and website, to monitor and display indoor temperature, humidity, atmospheric pressure and system states.…”

Section: Production Monitoringmentioning

confidence: 99%

Mini-review of application of IoT technology in monitoring agricultural products quality and safety

Hua

Wang

et al. 2018

International Journal of Agricultural and Biological Engineering

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Internet of Things (IoT) technology has been identified as one of the emerging technologies in information technology (IT), which is widely used in all walks of life in the world. The key technologies of IoT technology, such as radio frequency identification (RFID), wireless sensor network (WSN), sensors and global positioning system (GPS), had been widely used in farmland and greenhouse management, environmental monitoring, cold chain monitoring and tracking, and traceability, etc. As advancements in science and technology, IoT technology has been widely applied in agricultural products quality and safety, which brought a number of potential benefits for detecting agricultural products easier and automatically, improving the efficiency and speed of operations, decreasing the labor cost, promoting the agricultural products quality and safety. This paper intended to introduce the concept of IoT technology, the key technologies used at present and review the recent applications of IoT technology in monitoring agricultural products quality and safety in the whole industry chain, such as production, processing, circulation, sales and traceability. Challenges and trends of agricultural products quality and safety in the future were also discussed.

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

Cited by 37 publications

References 20 publications

Environment Control with Low-Cost Microcontrollers and Microprocessors: Application for Green Walls

Environment Control with Low-Cost Microcontrollers and Microprocessors: Application for Green Walls

Systematic review of Internet of Things in smart farming

Mini-review of application of IoT technology in monitoring agricultural products quality and safety

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