Open AccessAutomated Irrigation System for Agriculture
Author(s) -
A. Sriram,
Niteesha Sharma,
K. S. Reddy,
G. L. Anand Babu
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.i7630.078919
Subject(s) - productivity , irrigation , agriculture , agricultural engineering , cloud computing , environmental science , business , quality (philosophy) , agricultural productivity , population , environmental economics , water resource management , agricultural economics , computer science , engineering , geography , economics , economic growth , agronomy , philosophy , demography , archaeology , epistemology , sociology , biology , operating system
About 70% of Indian population does the farming, and hence the Research and Development in this area is very much needed. This article presents a beginner model of an irrigation system to increase agricultural productivity and quality. The significant variables influencing farm productivity, development and quality are temperature, humidity, carbon dioxide concentrations and many others. The proposed system periodically measures these parameters and is reported on the website. This study tries to automate the irrigation process in farmland by controlling the soil's water level relative to the grown plant and spraying water to simulate the impact of rain and mobile phones on simple access for farmers or farm professionals. By tracking these parameters on an ongoing basis, the farmer can evaluate the ideal environmental circumstances and act accordingly to obtain maximum crop productivity and further gain energy savings. The proposed system is tightly coupled with latest technological advancements including Cloud computing, Internet of Things and others.