Back close

Automated Irrigation System using Weather Prediction for Efficient Usage of Water Resources

Publication Type : Conference Paper

Publisher : IOP Conference Series: Materials Science and Engineering, Institute of Physics Publishing,

Source : IOP Conference Series: Materials Science and Engineering, Institute of Physics Publishing, Volume 225, Number 1 (2017)

Url : https://www.scopus.com/inward/record.uri?eid=2-s2.0-85030323438&doi=10.1088%2f1757-899X%2f225%2f1%2f012232&partnerID=40&md5=71672c0b2eb06c47e3fff213680debe7

Keywords : agriculture, atmospheric humidity, Automation, Available water, Drip irrigation, Forecasting, Irrigation, Irrigation systems, Measured values, Temperature and humidities, Two parameter, Water resources, Water scarcity, Weather forecasting, Weather prediction

Campus : Bengaluru

School : School of Engineering

Department : Electronics and Communication

Year : 2017

Abstract : In agriculture the major problem which farmers face is the water scarcity, so to improve the usage of water one of the irrigation system using drip irrigation which is implemented is Automated irrigation system with partition facility for effective irrigation of small scale farms (AISPF). But this method has some drawbacks which can be improved and here we are with a method called Automated irrigation system using weather prediction for efficient usage of water resources' (AISWP), it solves the shortcomings of AISPF process. AISWP method helps us to use the available water resources more efficiently by sensing the moisture present in the soil and apart from that it is actually predicting the weather by sensing two parameters temperature and humidity thereby processing the measured values through an algorithm and releasing the water accordingly which is an added feature of AISWP so that water can be efficiently used.

Cite this Research Publication : A. Susmitha, Alakananda, T., Apoorva, M. L., Dr. T. K. Ramesh, ,, ,, and M.H., I., “Automated Irrigation System using Weather Prediction for Efficient Usage of Water Resources”, in IOP Conference Series: Materials Science and Engineering, 2017, vol. 225.

Admissions Apply Now