Smart Irrigation System Based Thingspeak and Arduino

Benyezza, Hamza; Bouhedda, Mounir; Djellout, Khaoula; Saidi, Amina

doi:10.1109/icass.2018.8651993

Cited by 60 publications

(12 citation statements)

References 7 publications

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“…The main purpose of [21] is to reduce the farmer's effort and help them to monitor and irrigate their fields. How to perform a system in [21] it should be explained in the form of analytics. ML should implement for smart automation.…”

Section: Discussion and Analysismentioning

confidence: 99%

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A Review on Smart IoT Based Farming

Farooq¹,

Rehman²,

Javed³

et al. 2020

AETiC

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With the increase of world population, the availability of food to all inhabitants on globe is one of the significant challenges. These challenges need to be addressed by adopting innovative options to improve the soil capacity and the safety of environmental resources. The availability of real-time vital parameters related to farming such as moisture, temperature, weather, crops diseases and water management as well as predictive actions against the changes in parameters can provide great help to deal with these challenges. Internet of Things (IoT) is an evolving technology, has great potential to play and prevail its miraculous role in almost every field. IoT is a network of things that are capable of self-configuring network. The development of intelligent IoT based Smart farming is day by day getting its space in developed countries. It facilitates towards precision agriculture and turning the face of agriculture production. Subsequently, it is reducing spoilage of resources such as water, fertilizers, operating cost. The availability and development of cost effective smart miniaturized sensors, processors and communication technologies has made IoT based smart farming feasible. This paper aims to review most recent papers from year 2015 to 2020 in IoT based farming domain. The recent work is highlighted in terms of their scope, methodology and summarised in a table followed by discussion and analysis. The intention is to provide a platform for the future researchers to get a start towards a system with a single standard expert and complete autonomous assistive system.

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Section: Discussion and Analysismentioning

confidence: 99%

“…A smart framework [21] proposed to optimize the use of water and assist the famers to monitor their fields remotely without visiting their lands. System consists of two sensors, water level sensor and soil moisture sensor to monitor the moisture in soil.…”

Section: Literature Reviewmentioning

confidence: 99%

A Review on Smart IoT Based Farming

Farooq¹,

Rehman²,

Javed³

et al. 2020

AETiC

View full text Add to dashboard Cite

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“…The readings of temperature, soil moisture, and humidity were recorded by the sensors once per hour in a day and the data were sent to a cloud analytics platform service called ThingSpeak via the GSM module (SIM800 L). ThingSpeak is a cloud platform that aggregates and visualizes the data sent from devices (or sensors) [ 45 ]. This device can be used on any crop without any changes in the structure as the device is used for data acquisition.…”

Section: Methodsmentioning

confidence: 99%

An Experimental Comparison of IoT-Based and Traditional Irrigation Scheduling on a Flood-Irrigated Subtropical Lemon Farm

Zia

Rehman

Harris

et al. 2021

Sensors

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Over recent years, the demand for supplies of freshwater is escalating with the increasing food demand of a fast-growing population. The agriculture sector of Pakistan contributes to 26% of its GDP and employs 43% of the entire labor force. However, the currently used traditional farming methods such as flood irrigation and rotating water allocation system (Warabandi) results in excess and untimely water usage, as well as low crop yield. Internet of things (IoT) solutions based on real-time farm sensor data and intelligent decision support systems have led to many smart farming solutions, thus improving water utilization. The objective of this study was to compare and optimize water usage in a 2-acre lemon farm test site in Gadap, Karachi, for a 9-month duration, by deploying an indigenously developed IoT device and an agriculture-based decision support system (DSS). The sensor data are wirelessly collected over the cloud and a mobile application, as well as a web-based information visualization, and a DSS system makes irrigation recommendations. The DSS system is based on weather data (temperature and humidity), real time in situ sensor data from the IoT device deployed in the farm, and crop data (Kc and crop type). These data are supplied to the Penman–Monteith and crop coefficient model to make recommendations for irrigation schedules in the test site. The results show impressive water savings (~50%) combined with increased yield (35%) when compared with water usage and crop yields in a neighboring 2-acre lemon farm where traditional irrigation scheduling was employed and where harsh conditions sometimes resulted in temperatures in excess of 50 °C.

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“…Hamza Benyezza (Benyezza, Bouhedda, Djellout, & Saidi, 2019) Smart Irrigation System based Thingspeak and Arduino The smart Irrigation system is implemented with the help of Arduino and ESP8266 for the connectivity of the system. All data transmitted through DHT11 digital Temperature and Moisture Sensor and Soil moisture sensor can easily be transmitted to the cloud platform.…”

Section: Author Paper Title Paper Descriptionmentioning

confidence: 99%

IoT-Based Intelligent Irrigation System for Paddy Crop Using an Internet-Controlled Water Pump

Sharma

Kumar

2021

International Journal of Agricultural and Environmental Information Systems

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IoT is a communal association of things or equipment that can interact with each other with the help of an internet connection. IoT services play an imperative responsibility in the industry of agriculture, which can feed 10 billion people worldwide by 2050. Irrigation systems are a backbone of agriculture that help to reduce wastage of water and decide the effective usage of water according to the specific crop and thereby increase the crop yield. In this paper, an irrigation system is developed to supervise the paddy crop field using sensors (soil moisture sensor, pH sensor, and flow sensor), and this irrigation system works based on the concept of IoT, so it is known as intelligent irrigation system (IIS). The soil condition data from sensors are sent to a web server database using wireless transmission to decide how much water needed. In the proposed server database, the data is saved, and the authors use the concept of a dashboard; it operates via http protocol to control water pump of farmland. The condition of soil is monitored based on the parameter of soil-like moisture and water flow amount using the IoT, which is capable to turn on/off water pumps. The used dashboard is developed using open source free server, namely “000webhost.” This paper has considered the paddy crop that is rice because water is essential for growth and development of rice plants. The experimental results show this system is more proficient than the existing conventional and unadventurous irrigation approach.

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Smart Irrigation System Based Thingspeak and Arduino

Cited by 60 publications

References 7 publications

A Review on Smart IoT Based Farming

A Review on Smart IoT Based Farming

An Experimental Comparison of IoT-Based and Traditional Irrigation Scheduling on a Flood-Irrigated Subtropical Lemon Farm

IoT-Based Intelligent Irrigation System for Paddy Crop Using an Internet-Controlled Water Pump

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