Friday 26th of April 2024
 

The Soil Survey and Land Use Planning of Puducherry Region of Union Territory of Puducherry by Soil Profile Analysis Model using Soft Computing Approaches


Ashok Kumar D and Kannathasan N

In developing countries, hunger is forcing people to cultivate land that is unsuitable for agriculture and which can only be converted to agricultural use through enormous efforts and costs. Due to lack of plant growth information and expert advice, most of the farmers fail to get good yields. The growth of the plant depends upon multiple factors such as soil type, crop type and weather. This research paper proposes a novel Soil Profile Analysis Model to Characterize Soil Profile using Soft Computing approaches like Rough Set approaches, Principal Component Analysis, Clustering or Classification methods and derived patterns characterized or evaluated and presented in various forms like visualized diagrams, generalized relations or in rule forms called characteristic rules. The process involves cleaning or preprocessing from Soil Profile databases, reducing data from a Soil Profile data by Rough Set approaches Fuzzy, Genetic based Hybrid methods to produce a pattern or knowledge, and then evaluating the derived pattern. The benefits of a greater understanding of soil pattern could improve productivity in farming, to maintaining biodiversity, to reduce reliance on fertilizers and create a better integrated soil management system for both private and public sectors. A case study is done on Soil Profile of Puducherry Region which derives a good number of rules for farming society.

Keywords: Fuzzy Logic, Genetic, Hybrid, Reduction, Rough Set, Soil Profile, Soil Texture.

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ABOUT THE AUTHORS

Ashok Kumar D
D. Ashok Kumar did his Master degree in Mathematics and Computer Applications in 1995 and completed Ph.D., on Intelligent Partitional Clustering Algorithms in 2008, from Gandhigram Rural Institute–Deemed University, Gandhigram, Tamil Nadu, INDIA. He is currently working as Associate Professor and Head in the Department of Computer Science, Government Arts College, Tiruchirappalli–620 022, Tamil Nadu, INDIA. His research interest includes Pattern Recognition and Data Mining by various Soft Computing approaches viz., Neural Networks, Genetic Algorithms, Fuzzy Logic, Rough Set, etc.,

Kannathasan N
N. Kannathasan is a Senior Grade Assistant Professor of Computer Science at the Kanchi Mamunivar Centre for Post Graduate Studies (Government of Puducherry Institution, Autonomous and Affiliated to Pondicherry University), (College with Potential for Excellence by UGC) Puducherry, INDIA. Prior to joining KMCPGS, Puducherry, he served at the Mahatma Gandhi Government Arts College, Mahe, U.T. of Puducherry, Bharathidasan Government College for Women, Puducherry, Velammal College of Management and Computer Studies, Chennai, SRM Arts and Science College, Chennai, and AVC College, Mayiladuthurai. He received his M.Phil. Computer Science from the Bharathidasan University, Tiruchirappalli and M.Sc. Computer Science from Ayya Nadar Janaki Ammal College (Autonomous and Affiliated to Madurai Kamaraj University), (College of Excellence by UGC), Sivakasi, Tamil Nadu, INDIA.


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