Systems Analysis and Soft Computing in Agricultural Engineering Agri 5th Sem Syllabus for BE 2017 Regulation Anna Univ (Professional Elective I) detail syllabus for Agriculture Engineering (Agri), 2017 regulation is collected from the Anna Univ official website and presented for students of Anna University. The details of the course are: course code (AI8001), Category (PE), Contact Periods/week (3), Teaching hours/week (3), Practical Hours/week (0). The total course credits are given in combined syllabus.
For all other agri 5th sem syllabus for be 2017 regulation anna univ you can visit Agri 5th Sem syllabus for BE 2017 regulation Anna Univ Subjects. For all other Professional Elective I subjects do refer to Professional Elective I. The detail syllabus for systems analysis and soft computing in agricultural engineering is as follows.
Course Objective:
- To introduce the students to the application of systems concept to agricultural engineering problems, planning and management.
- Soft computing techniques for modeling different problems in the field agricultural engineering
Unit I
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Unit II
Linear Programming and Dynamic Programming
Introduction to operations research – Linear programming, problem formulation, graphical solution, solution by simplex method – Sensitivity analysis – application – Bellman” s optimality criteria, problem formulation and solutions – application.
Unit III
Simulation
Basic principles and concepts – Random variate and random process – Monte Carlo techniques -Model development – Inputs and outputs – Deterministic and stochastic simulation – Irrigation Scheduling – application.
Unit IV
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Unit V
Fuzzy Logic and Genetic Algorithm
Basic concepts of fuzzy logic, Fuzzy set theory and operations, Properties of fuzzy sets, Membership functions, interference in fuzzy logic, Fuzzy implications and Fuzzy algorithms, Fuzzy Controller, Industrial applications.
Genetic Algorithm (GA) – Basic concepts, working principle, procedures, flow chart, Genetic representations, encoding, Initialization and selection, Genetic operators, Mutation – applications
Course Outcome:
- Upon completion of the course, the student will have the knowledge on system concepts and will be able to apply the optimization techniques like LP, DP, ANN, FL and GA for problems in agriculture.
Text Books:
- Vedula, S., and Majumdar, P.P. Water Resources Systems – Modeling Techniques and Analysis Tata McGraw Hill, New Delhi, Fifth reprint, 2010.
- Robert M Peart and W David Shoup, Agricultural Systems Management – Optimizing efficiency and performance, CRC Press, 2013.
- Gupta, P.K., and Man Mohan, Problems in Operations Research, (Methods and Solutions), Sultan Chand and Sons, New Delhi, 1995.
References:
- Chaturvedi, M.C., Water Resources Systems Planning and Management, Tata McGraw Hill, New Delhi, 1997.
- Taha, H.A., Operations Research, McMillan Publication Co., New York, 1995.
- Hiller, F.S., and Liebermann, G.J., Operations Research, CBS Publications and Distributions, New Delhi, 1992.
- Timothy J. Ross, Fuzzy Logic with Engineering Applications Wiley India.
- S. Rajsekaran and G.A. Vijayalakshmi Pai, Neural Networks,Fuzzy Logic and Genetic Algorithm: Synthesis and Applications Prentice Hall of India.
For detail syllabus of all other subjects of BE Agri, 2017 regulation do visit Agri 5th Sem syllabus for 2017 Regulation.
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