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International Advanced Research Journal in Science, Engineering and Technology
International Advanced Research Journal in Science, Engineering and Technology A Monthly Peer-Reviewed Multidisciplinary Journal
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← Back to VOLUME 9, ISSUE 5, MAY 2022

Arduino Driven Sensor Networked Smart Farming System

Bishal Gurung, Anush Gurung, Arpan Pokhrel, Deepa Limboo, Sudan Dahal, Anu Manger, Deepak Rasaily

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Abstract: As we all know that Agriculture is one of the major sectors for countries economy, farming is the backbone of it. Now a days the farming and production of crops are getting worst day by day. So, in this paper we have come with a new solution which is totally automatic. The smart farming system include Arduino Uno, water motor, various modules and various sensors. The highlighting feature of this project includes irrigation with smart control and decision making based on accurate real-time field data. Arduino is the main operating system for this project which gives commands to the systems to act as per the received data from various sensors. This system monitors the regular status of the field like temperature, humidity, moisture level, rainfall, with the help of sensors, which are capable of providing live data of the field. It’s totally automatic and can be operated by everyone. This project ensures higher quality and larger production of the crops. This system provides smart agro-business with reliable result. For the better production, every time a farmer has to monitor over his crops, either the environmental condition is suitable or not, this system solves all the problems. It is an integrated system with all the features for the better growth and production of crops.

Keywords: Arduino Uno, soil and moisture sensor, temperature and humidity sensor, Wi-Fi module.

How to Cite:

[1] Bishal Gurung, Anush Gurung, Arpan Pokhrel, Deepa Limboo, Sudan Dahal, Anu Manger, Deepak Rasaily, “Arduino Driven Sensor Networked Smart Farming System,” International Advanced Research Journal in Science, Engineering and Technology (IARJSET), DOI: 10.17148/IARJSET.2022.9525

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