IoT Based Smart Irrigation System
Author(s):
Shaikh Modhin, L Sameena, Mohammed Ateeb Ahmed, S. MD. Mazhar ul haq
Keywords:
Intelligent Irrigation, Arduino Uno (R3), Soil Moisture Sensor, DHT11 Temperature Sensor, Android Application.
Abstract
In the agricultural sector, an intelligent irrigation system is built up of various hardware tools and software programs that employ various technologies. Technological innovation related to machine learning is important in research. It is an approach to data analysis that learns a variety of approaches and builds models that extract information from datasets. The study evaluates the effectiveness of used methods and aids farmers in customizing an appropriate system to meet their needs. Through the use of soil monitoring parameters such as soil humidity, temperature of the soil, and ambient variables as well as online weather prediction data, this work proposes a freely available automated system that can estimate a field's irrigation demands. Internet services and an online user interface that have been developed and implemented on working model dimensions are used to wirelessly gather all of the sensor node's information via the cloud server.
Article Details
Unique Paper ID: 160117

Publication Volume & Issue: Volume 9, Issue 12

Page(s): 1195 - 1199
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