Evapotranpiration Model Using AI Controller for automatic Irrigation system

International Journal of Computer Trends and Technology (IJCTT)          
© - July Issue 2013 by IJCTT Journal
Volume-4 Issue-7                           
Year of Publication : 2013
Authors :Mr. Raja sekhar reddy.G, Mr.Manujunatha.S, Mr.Sundeep Kumar k


Mr. Raja sekhar reddy.G, Mr.Manujunatha.S, Mr.Sundeep Kumar k "Evapotranpiration Model Using AI Controller for automatic Irrigation system"International Journal of Computer Trends and Technology (IJCTT),V4(7):2311-2315 July Issue 2013 .ISSN 2231-2803.www.ijcttjournal.org. Published by Seventh Sense Research Group.

Abstract:- Rapid population growth necessitates continued increases in the use of cropland and water resource. Water management is the major issue in many cropping systems in semiarid and aried areas. Distributed filed sensor based automatic irrigation system offers a potential solution to specific area irrigation management that allows while saving water that maximize their productivity. And it is difficult to irrigate large areas of lands. most of the techniques are implemented for saving and water resources those all are fixed rate hardware controller. This paper proposed the sensors based ANN automatic irrigation controller. It saves the lot of energy and water resources, maximize the productivity, decreased the manual effort. The proposed Artificial Neural Network (ANN) based controller is prototyped using MATLAB. The system gets the input parameters as temperature, soil humidity, air humidity, radiation according to these parameters based on ecological conditions and type of crop, stage of growth based on these values it calculates the amount water required for the crop is estimated using evapotranspiration model. Finally associated results are produced.


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Keywords : — ANN based controller, evapotranspiration model, GPS, Zigbee, Irrigation System