This paper is published in Volume-7, Issue-3, 2021
Area
Internet Of Things
Author
Devashish Agarwala, Vanishree K.
Org/Univ
RV College of Engineering, Bengaluru, Karnataka, India
Pub. Date
14 June, 2021
Paper ID
V7I3-1833
Publisher
Keywords
IoT, Smart Agriculture, Cloud

Citationsacebook

IEEE
Devashish Agarwala, Vanishree K.. Agriculture field monitoring and analysis using Wireless Sensor Networks, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Devashish Agarwala, Vanishree K. (2021). Agriculture field monitoring and analysis using Wireless Sensor Networks. International Journal of Advance Research, Ideas and Innovations in Technology, 7(3) www.IJARIIT.com.

MLA
Devashish Agarwala, Vanishree K.. "Agriculture field monitoring and analysis using Wireless Sensor Networks." International Journal of Advance Research, Ideas and Innovations in Technology 7.3 (2021). www.IJARIIT.com.

Abstract

India is largely an agricultural country. Agriculture is the most pivotal occupation for most Indian families. It plays a vital role in the development of India. In India, agricultural income contributes about 16% of total GDP and 10% of total exports. Water is the central resource for Agriculture. Irrigation is one method to supply water, but there will be a lot of water wastage in some cases. IoT technology can help in collecting information about conditions like moisture, temperature, and humidity. Wireless sensor networks are used to monitor the farm conditions and micro-controllers to control and automate the farm processes. DHT-22 sensor is used to measure the temperature and humidity in the field, and a resistive soil moisture sensor module is used to measure the moisture content of the soil. All the sensor relays are interfaced with the ESP32 controller. The sensors collect data from the field and transmit the data to the micro-controller. All the sensor devices are connected to the internet through the ESP module. After successful completion of sense, the data will be processed and stored in serve for future reference. After completing the analysis of the data, the threshold values will be set for controlling purposes. In this implementation, the threshold value is set for the soil moisture value. When the threshold value is met, the solenoid valve is turned on to irrigate the field. The end-user can also turn on the solenoid valve by using the Blynk application.