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. / 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.
| Identifer | oai:union.ndltd.org:arizona.edu/oai:arizona.openrepository.com:10150/219532 |
| Date | 01 April 2012 |
| Creators | Prisilla, L., Rooban, P. Simon Vasantha, Arockiam, L. |
| Contributors | 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 |
| Source Sets | University of Arizona |
| Language | English |
| Detected Language | English |
| Type | Article, Technical Report |
| Relation | IJCSN-2012-1-2-6, http://ijcsn.org/publications.html |
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