A Novel Method for Water irrigation System for paddy fields using ANN

Persistent Link:
http://hdl.handle.net/10150/219532
Title:
A Novel Method for Water irrigation System for paddy fields using ANN
Author:
Prisilla, L.; Rooban, P. Simon Vasantha; Arockiam, L.
Affiliation:
M.Phil scholar in Department of Computer Science, St.Joseph’s College, Tiruchirapalli-2, Tamilnadu.; Associate Professor in Department of Computer Science, St. Joseph’s College, Tiruchirapalli-2, Tamilnadu.
Publisher:
IJCSN
Journal:
International Journal of Computer Science and Network
Issue Date:
1-Apr-2012
Description:
In our country farmers have to face many difficulties because of the poor irrigation system. During flood situation, excessive waters will be staged in paddy field producing great loss and pain to farmers. So, proper Irrigation mechanism is an essential component of paddy production. Poor irrigation methods and crop management are rapidly depleting the country’s water table. Most small hold farmers cannot afford new wells or lawns and they are looking for alternative methods to reduce their water consumption. So proper irrigation mechanism not only leads to high crop production but also pave a way for water saving techniques. Automation of irrigation system has the potential to provide maximum water usage efficiency by monitoring soil moistures. The control unit based on Artificial Neural Network is the pivotal block of entire irrigation system. Using this control unit certain factors like temperature, kind of the soil and crops, air humidity, radiation in the ground were estimated and this will help to control the flow of water to acquire optimized results.
URI:
http://hdl.handle.net/10150/219532
Additional Links:
http://ijcsn.org/publications.html
Abstract:
Water is an essential resource in the earth. It is also essential for irrigation, so irrigation technique is essential for agriculture. To irrigate large area of lands is a tedious process. In our country farmers are not following proper irrigation techniques. Currently, most of the irrigation scheduling systems and their corresponding automated tools are in fixed rate. Variable rate irrigation is very essential not only for the improvement of irrigation system but also to save water resource for future purpose. Most of the irrigation controllers are ON/OFF Model. These controllers cannot give optimal results for varying time delays and system parameters. Artificial Neural Network (ANN) based intelligent control system is used for effective irrigation scheduling in paddy fields. The input parameters like air, temperature, soil moisture, radiations and humidity are modeled. Using appropriate method, ecological conditions, Evapotranspiration, various growing stages of crops are considered and based on that the amount of water required for irrigation is estimated. Using this existing ANN based intelligent control system, the water saving procedure in paddy field can be achieved. This model will lead to avoid flood in paddy field during the rainy seasons and save that water for future purposes.
Type:
Article; Technical Report
Language:
en
Keywords:
Artificial Neural Network; Automated hardware; Irrigation scheduling; Evapotranspiration; water saving
Series/Report no.:
IJCSN-2012-1-2-6
ISSN:
2277–5420

Full metadata record

DC FieldValue Language
dc.contributor.authorPrisilla, L.en_US
dc.contributor.authorRooban, P. Simon Vasanthaen_US
dc.contributor.authorArockiam, L.en_US
dc.date.accessioned2012-04-20T02:27:51Z-
dc.date.available2012-04-20T02:27:51Z-
dc.date.issued2012-04-01-
dc.identifier.issn2277–5420-
dc.identifier.urihttp://hdl.handle.net/10150/219532-
dc.descriptionIn our country farmers have to face many difficulties because of the poor irrigation system. During flood situation, excessive waters will be staged in paddy field producing great loss and pain to farmers. So, proper Irrigation mechanism is an essential component of paddy production. Poor irrigation methods and crop management are rapidly depleting the country’s water table. Most small hold farmers cannot afford new wells or lawns and they are looking for alternative methods to reduce their water consumption. So proper irrigation mechanism not only leads to high crop production but also pave a way for water saving techniques. Automation of irrigation system has the potential to provide maximum water usage efficiency by monitoring soil moistures. The control unit based on Artificial Neural Network is the pivotal block of entire irrigation system. Using this control unit certain factors like temperature, kind of the soil and crops, air humidity, radiation in the ground were estimated and this will help to control the flow of water to acquire optimized results.en_US
dc.description.abstractWater is an essential resource in the earth. It is also essential for irrigation, so irrigation technique is essential for agriculture. To irrigate large area of lands is a tedious process. In our country farmers are not following proper irrigation techniques. Currently, most of the irrigation scheduling systems and their corresponding automated tools are in fixed rate. Variable rate irrigation is very essential not only for the improvement of irrigation system but also to save water resource for future purpose. Most of the irrigation controllers are ON/OFF Model. These controllers cannot give optimal results for varying time delays and system parameters. Artificial Neural Network (ANN) based intelligent control system is used for effective irrigation scheduling in paddy fields. The input parameters like air, temperature, soil moisture, radiations and humidity are modeled. Using appropriate method, ecological conditions, Evapotranspiration, various growing stages of crops are considered and based on that the amount of water required for irrigation is estimated. Using this existing ANN based intelligent control system, the water saving procedure in paddy field can be achieved. This model will lead to avoid flood in paddy field during the rainy seasons and save that water for future purposes.en_US
dc.language.isoenen_US
dc.publisherIJCSNen_US
dc.relation.ispartofseriesIJCSN-2012-1-2-6en_US
dc.relation.urlhttp://ijcsn.org/publications.htmlen_US
dc.subjectArtificial Neural Networken_US
dc.subjectAutomated hardwareen_US
dc.subjectIrrigation schedulingen_US
dc.subjectEvapotranspirationen_US
dc.subjectwater savingen_US
dc.titleA Novel Method for Water irrigation System for paddy fields using ANNen_US
dc.typeArticleen_US
dc.typeTechnical Reporten_US
dc.contributor.departmentM.Phil scholar in Department of Computer Science, St.Joseph’s College, Tiruchirapalli-2, Tamilnadu.en_US
dc.contributor.departmentAssociate Professor in Department of Computer Science, St. Joseph’s College, Tiruchirapalli-2, Tamilnadu.en_US
dc.identifier.journalInternational Journal of Computer Science and Networken_US
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