IoT Based Smart Farming Using Thingspeak and MATLAB

Penchalaiah, N.; Emmanuel, Jaladanki Nelson; Kamal, S. Suraj; Narayana, C. V. Lakshmi

doi:10.1007/978-981-15-7961-5_117

Cited by 10 publications

(8 citation statements)

References 4 publications

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“…The sensor calibration technique for the moisture sensor used in this study is presented here. The moisture sensor input was calibrated using a two-point calibration approach [25,26]. These moisture sensor measurements are acquired during the first two seconds of the system loop and are referred to as the lowest and maximum predicted values of the readings taken.…”

Section: Resultsmentioning

confidence: 99%

“…Smart agriculture manages agriculture that uses data technology to increase agricultural productivity and quality [22,23]. Thing Speak collects and stores agricultural sensors and controller data for the farm owner [24,25]. The use of wireless sensor networks in designing an autonomous plant Smart Irrigation System results in irrigation settings that can be automatically controlled [26][27][28][29][30].…”

Section: Introductionmentioning

confidence: 99%

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High-technology agriculture using the internet of things and cloud computing for an efficient Smart Irrigation System

Morchid

Qjidaa

Jamil³

et al. 2022

Preprint

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Agricultural activity is the most important economy in Morocco, and in the world, because it is the only source of food security. This activity faces a real threat due to the climatic changes and the inappropriate use of irrigation, which threatens the life of many people in Morocco and North Africa. In order to meet the increasing demand for water for agriculture, we must consider alternative techniques to rationalize this rare and vital substance. This paper proposes a "Smart Irrigation System" based on the internet of things (IoT) and cloud computing to supervise in real-time and wirelessly the environmental parameters such as temperature, humidity, moisture, and water level in a smart agricultural. This system uses as techniques special sensors (DHT22, water level sensor, moisture sensor) wired to a popular control board ESP32. As communication between the device and the user, the apparatus uses a ThingSpeak platform on the network. The ESP32 controller is also connected to a water sprinkler irrigating the soil and a water pump for recharging the tank when it runs dry. Based on the values of different environmental parameters, the water pump is automatically controlled. The data collected by the sensors is communicated in real-time to the ThingSpeak platform and the ThingView app. This will allow the farmer to see all of the farm's data from afar and from any location, allowing him to irrigate the crops more accurately and increase production. On the other side, we will present a mathematical function to calibrate the water level sensor by a percentage, a function called linear interpolation. In this system, the soil is irrigated as needed and accurately, and this will reduce water consumption by a very important percentage of more than 70 percent, unlike traditional irrigation, which drains the water bed and drowns agricultural crops.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

High-technology agriculture using the internet of things and cloud computing for an efficient Smart Irrigation System

Morchid

Qjidaa

Jamil³

et al. 2022

Preprint

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“…-keyboard and microphone for recording responses; -necessary microelectronic and software. The use of the ESP8266 module, router and TCP/IP protocol is intended for data transfer to the Thingspeak cloud server DBMS [28][29][30][31] using MQTT.…”

Section: Application Of the Methods Of Decomposition And Identification Of Classes In The Formation Of The Structure Of The Information Pmentioning

confidence: 99%

Information processing psychodiagnostic system: designing and implementation

Lazurik

Styervoyedov

Varlamova

2021

EEJET

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The reasons for the creation of a modern psychodiagnostic system are considered. The design and implementation of an information processing system using the structure of the reference model of the Internet of Things is proposed. The existing psychodiagnostic tools and a number of disadvantages are described. In the process of developing the system design, requirements were formed: three-dimensional representation of signals, remote control of the diagnostic process, data collection, transmission and storage on a remote server, processing of results, expert assessment. The main two tasks of the study are formed. The structure of an information processing system containing four blocks interacting with each other is presented. The principle of operation of the system provides for the transfer of data for testing and saving the results on a cloud server using WiFi or GPRS connection. The Thingspeak cloud service used provides guaranteed access to research data "anytime and from anywhere in the world." Data exchange occurs every 15 seconds when using the free version and with a cycle of up to 1 second when using the cloud on a commercial basis. The models of LED-cube, LED-ball, LED panels diagnosed using addressable digital RGB LEDs with built-in WS2812B microcontrollers (PRC) have been developed. A method for assessing the influence of various types of load on the functional state of a person is proposed. Scenarios of data processing for the formation of a subject's profile in the case of unclear classes are considered. The importance of developing such a system lies in the possibility of using various types of communication for data transmission and the ability to adapt it to non-standard research requirements

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“…The data read from the sensors consist of the ambient room temperature, humidity, aquarium water temperature and water level. These data is transmitted from the Arduino Uno to the cloud based ThingSpeak [10][11][12][13][14] via the ESP8266 Wi-Fi module and home router. The data displayed on the dashboard in ThingSpeak can be tracked or monitored over time as can be seen in Figure 8.…”

Section: B Arduino Uno To Sensors and Wi-fi Modulementioning

confidence: 99%

Marine Aquarium Temperature Controller and the IoT (Internet of Things)

Jordaan

Umenne

2021

2021 International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems (icABCD)

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This design monitors and controls the temperature in a marine aquarium. This system measures the water temperature in an aquarium and then uses a heater and cooling fan to control the temperature within a range of (25-27) °C. The measured information is displayed on ThingSpeak which is an Internet of Things (IoT) service. In this way the user can access this information from any smart device. ThingSpeak is an IoT analytics platform that allows the user to analyse and visualize data that was collected. In the design additional features such as water level sensing and LED lights control are also included. The device measures the aquarium water temperature and in addition to showing it on "ThingSpeak" displays it on an LCD screen. Ambient room temperature and humidity are measured and displayed on an OLED screen in addition to ThingSpeak. This design is a compact design with most of the boards being interconnected modules.

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IoT Based Smart Farming Using Thingspeak and MATLAB

Cited by 10 publications

References 4 publications

High-technology agriculture using the internet of things and cloud computing for an efficient Smart Irrigation System

High-technology agriculture using the internet of things and cloud computing for an efficient Smart Irrigation System

Information processing psychodiagnostic system: designing and implementation

Marine Aquarium Temperature Controller and the IoT (Internet of Things)

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