This paper is published in Volume-7, Issue-3, 2021
Area
IoT
Author
S. Purushothaman, Ajay Kanna R., Dhivakar G., Ashok Kumar K., Dilip Kumar E.
Org/Univ
VSB Engineering College, Karudayampalayam, Tamil Nadu, India
Pub. Date
21 June, 2021
Paper ID
V7I3-1975
Publisher
Keywords
Internet of Things (IoT), Farmers, Intelligent Irrigation System, Crop Yields, Sensors, Atmega4809 Chip

Citationsacebook

IEEE
S. Purushothaman, Ajay Kanna R., Dhivakar G., Ashok Kumar K., Dilip Kumar E.. Effective implementation of smart agriculture monitoring system using IoT sensor network, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
S. Purushothaman, Ajay Kanna R., Dhivakar G., Ashok Kumar K., Dilip Kumar E. (2021). Effective implementation of smart agriculture monitoring system using IoT sensor network. International Journal of Advance Research, Ideas and Innovations in Technology, 7(3) www.IJARIIT.com.

MLA
S. Purushothaman, Ajay Kanna R., Dhivakar G., Ashok Kumar K., Dilip Kumar E.. "Effective implementation of smart agriculture monitoring system using IoT sensor network." International Journal of Advance Research, Ideas and Innovations in Technology 7.3 (2021). www.IJARIIT.com.

Abstract

Agriculture is an essential part of the Indian economy. More than 60% of India's agriculture-based population and a third of the nation's income comes from farming practices. Hence, it plays an important role in the country's development. The possible solution to these problems is to go for modernized agriculture that is part of modern trends. Therefore, agriculture can be made smart with the help of IoT and other technologies. Smart agriculture increases crop yields and reduces water waste and the imbalanced use of fertilizers. The most prominent feature of the project is that it measures various agricultural parameters that affect yields like moisture sensor, temperature sensor, ultrasonic sensor, and rain sensor using ATMEGA4809 chip and displays in LCD. Secondly, it sends all data to the cloud for analysis. The paper also includes an android mobile application that allows farmers to easily access information. In addition, the work also proposes an intelligent irrigation system that can optimize water consumption.