Arduino-Based Smart Irrigation Using Sensors and ESP8266 WiFi Module

Thakare, Sujit; Bhagat, Prachi

doi:10.1109/iccons.2018.8663041

Cited by 42 publications

(11 citation statements)

References 1 publication

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“…In [6], the authors proposed an irrigation system that can be controlled anywhere using the internet, in which internet connectivity is established using a Wi-Fi module. The system is using the Arduino platform equipped with three types of sensors, which are a temperature sensor, a moisture sensor, and a PH sensor to collect soil parameters that are temperature, moisture content, and PH level.…”

Section: Previous Workmentioning

confidence: 99%

Implementation of Faulty Sensor Detection Mechanism using Data Correlation of Multivariate Sensor Readings in Smart Agriculture

Malik¹,

Jamil²,

Omar³

et al. 2021

AETiC

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Through sensor networks, agriculture can be connected to the IoT, which allows us to create connections among agronomists, farmers, and crops regardless of their geographical differences. Faulty sensor detection is critical in IoT. When a sensor becomes faulty, missing data and/or bad data is provided to the control and management systems, which may lead to potential malfunction or even system failures. Because of this, a sensor fault detection mechanism must be implemented in an IoT system to eliminate this potential fault. This paper focuses on the implementation of a faulty sensor detection mechanism using data correlation among multivariate sensor readings, which is called Multivariate Faulty Sensor Detection Mechanism (Multi-FSDM) in a smart agriculture system. The smart agriculture system is attached with multi-variate sensors, which are moisture, temperature, and water sensor. These sensors are connected to Arduino UNO, which is equipped with an ESP8266 Wi-Fi module for internet connectivity. ThingsBoard is selected as the IoT cloud platform. The sensor readings are collected periodically and send to the cloud via the internet. Multi-FSDM calculates the correlation between each sensor reading to determine the health condition of each sensor. When all sensors are in good condition, all sensor readings are correlated with each other. However, when any sensor becomes faulty, sensor readings become uncorrelated. Once uncorrelated sensor readings occur, this means a faulty sensor is detected. Based on the findings, it is proven that Multi-FSDM can detect each sensor state on the smart agriculture system either in a good or faulty condition. When a sensor becomes faulty, Multi-FSDM detects and determines the faulty sensor successfully.

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Section: Previous Workmentioning

confidence: 99%

Implementation of Faulty Sensor Detection Mechanism using Data Correlation of Multivariate Sensor Readings in Smart Agriculture

Malik¹,

Jamil²,

Omar³

et al. 2021

AETiC

View full text Add to dashboard Cite

show abstract

“…Pemantau daerah endemik malaria berbasis IoT [5]. Sistem irigasi pompa dan alat penyiram berbasis Arduino menggunakan sensor water flow [6]. Penerapan water level control untuk mendeteksi tingkat air dalam tangki secara otomatis menggunakan arduino [7] dan juga Aplikasi untuk Kontrol Lampu Jarak Menggunakan Mikrokontroler Nodemcu Esp 8266 Berbasis Internet of Things (IoT) [8] dan juga dibutuhkan keamanan computer untuk melindungi dari serangan hacker [9] sehingga penerapan sensor bisa berjalan baik tanpa adanya hambatan transmisi datanya.…”

Section: Metodologi Penelitianunclassified

NodeMcu Microcontroller Based Disinfectant Fluid Monitoring System Using Water Level Control Sensor and Ultrasonic Sensor

Sahtyawan

Saputra

Arief

2020

Angkasa

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Penyebaran virus corona (Covid-19) di Indonesia semakin meningkat. banyak inovasi mulai timbul diantarnya penggunaan bilik/chamber yang diletakkan dijalan, pintu gerbang kampung masih secara manual dengan adanya petugas yang menekan saklar bagi tamu yang masuk, dan ada juga penyemprotan yang dilakukan secara otomatis, membaca tamu yang datang, secara otomatis, Kendala yang dihadapi terkadang kehabisan cairan desinfektannya, menuntut petugas mesti mengecek secara rutin agar tidak kehabisan. penelitian ini akan mengembangkan bilik desinfektan berbasis IoT selain dapat menyemprotkan cairan desinfektan secara otomatis, juga dapat mengisi cairan desinfektan secara otomatis dan dapat dipantau melalui Smartphone. Kebutuhan sistem dan alatnya terdiri dari : NodeMcu Esp 8266, sensor flow water, sensor ultrasonic, Relay, Solenoid Valve, Arduino IDE, Blynk Apps, ThingSpeak Proses pendeteksian ketinggian cairan desinfektan tersebut dibedakan menjadi 2, level aman dengan ketinggian air antara 11-50 cm, Level bahaya dengan ketinggian air antara 0-10 cm, maka nodemcu mengirimkan sinyal output ke relay, relay meneruskan sinyal tersebut yang berfungsi sebagai saklar untuk membuka solenoid, air akan mengalir melalui pipa saat katup solenoid dibuka sehingga kran air terbuka untuk mengisi derigen. Platform Iot Thingspeak digunakan untuk menampilkan grafik level cairan desinfektan. Data output sensor akan dilaporkan secara real time ke admin melalui aplikasi Blynk apps. Dengan perkembangan perangkat ini, diharapkan dapat menekan penyebaran virus covid-19.

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“…In smart irrigation system based on soil moisture levels using IOT [7] has proposed framework consists of Arduino based controlled irrigation system using ESP8266 WiFi Module using IOT platform. In IoT based smart crop-field monitoring and automation irrigation system [8] is introduced two sensors which are used gather the information as simple Copyright © 2020 MECS I.J.…”

Section: Literature Surveymentioning

confidence: 99%

An Internet of Thing based Agribot (IOT- Agribot) for Precision Agriculture and Farm Monitoring

Kumar¹,

Aju²

2020

IJEME

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Developing nations like India have a huge potential for agricultural business and better cultivation. Because of the large size of cultivation land, improper water supply systems and lack of technology-based agricultural practices, there is a huge gap among expected and actual quantity and quality of agricultural products. Hence there is a need for significant revival in agribusiness using emerging technologies. The article proposes an intelligent water framework device called Agribot designed for the agricultural industry to minimize the water wastage and a better supply of cultivating materials using the Internet of Things (IoT). Our proposed IOT-Agribot will energize the water framework, improve the cost-effective water usage and reduce the labor force to achieve precision agriculture. The proposed IOT-Agribot has performed well for variable weather conditions, soli type, moisture content and crops.

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Arduino-Based Smart Irrigation Using Sensors and ESP8266 WiFi Module

Cited by 42 publications

References 1 publication

Implementation of Faulty Sensor Detection Mechanism using Data Correlation of Multivariate Sensor Readings in Smart Agriculture

Implementation of Faulty Sensor Detection Mechanism using Data Correlation of Multivariate Sensor Readings in Smart Agriculture

NodeMcu Microcontroller Based Disinfectant Fluid Monitoring System Using Water Level Control Sensor and Ultrasonic Sensor

An Internet of Thing based Agribot (IOT- Agribot) for Precision Agriculture and Farm Monitoring

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