JNTU-K B.TECH R19 4-1 Syllabus For Artificial intelligence in agricultural engineering PDF 2022
January 29, 2022 2022-01-29 17:49JNTU-K B.TECH R19 4-1 Syllabus For Artificial intelligence in agricultural engineering PDF 2022
JNTU-K B.TECH R19 4-1 Syllabus For Artificial intelligence in agricultural engineering PDF 2022
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You will be able to find information about Artificial intelligence in agricultural engineering along with its Course Objectives and Course outcomes and also a list of textbook and reference books in this blog.You will get to learn a lot of new stuff and resolve a lot of questions you may have regarding Artificial intelligence in agricultural engineering after reading this blog. Artificial intelligence in agricultural engineering has 5 units altogether and you will be able to find notes for every unit on the CynoHub app. Artificial intelligence in agricultural engineering can be learnt easily as long as you have a well planned study schedule and practice all the previous question papers, which are also available on the CynoHub app.
All of the Topic and subtopics related to Artificial intelligence in agricultural engineering are mentioned below in detail. If you are having a hard time understanding Artificial intelligence in agricultural engineering or any other Engineering Subject of any semester or year then please watch the video lectures on the official CynoHub app as it has detailed explanations of each and every topic making your engineering experience easy and fun.
Artificial intelligence in agricultural engineering Unit One
Foundation and history
Foundation and history of artificial intelligent, Problems and Techniques, Artificial Intelligence programming languages, Introduction to LISP and to PROLOG. Problem spaces and searches -Blind search strategies, Breadth first and Depth first, Heuristic search techniques Hill climbing.
Artificial intelligence in agricultural engineering Unit Two
Best first-A*algorithm and AO*
Best first-A*algorithm and AO* algorithm Game tree Minimum maximum algorithms, Game playing, Alpha beta pruning, Knowledge representation issues, Predicate logic, Logic programming, Semantic nets, Frames and inheritance, Constraint propagation.
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Artificial intelligence in agricultural engineering Unit Three
Representing knowledge
Representing knowledge using rules, Rules based deduction systems, Reasoning under uncertainty, Review of probability, Baye’s probabilistic interferences, Dempster Shafer theory, Heuristic methods.
Artificial intelligence in agricultural engineering Unit Four
Symbolic reasoning
Symbolic reasoning under uncertainty, Statistical reasoning, Fuzzy reasoning. Temporal reasoning, Non monotonic reasoning, Planning and planning in situational calculus, Representation for planning, Partial order planning algorithm, Learning from examples, Discovery as learning, Learning by analogy, Explanation based learning, Neural nets, Genetic algorithms.
Artificial intelligence in agricultural engineering Unit Five
Principles of Natural language
Principles of Natural language processing, Rule based systems architecture, Expert systems, Knowledge acquisition concepts, Artificial Intelligence application to robotics, Current trends in intelligent system.
Artificial intelligence in agricultural engineering Course Objectives
This helps the students to write the language programme; deferens reasoning application to robotics and current trends in intelligent system.
Artificial intelligence in agricultural engineering Course Outcomes
1.It is use full in language programming and different reasoning
2.It is helpful to the student to learn different algorithms and language programming.
3.Knowledge helpful in interpreting different rules
4.It is helpful in learning & Planning 5.It is helpful to learn about robotics and current trends in intelligent system
Artificial intelligence in agricultural engineering Text Books
1 Russell, S. and P. Norvig. 1998. Artificial Intelligence: A Modern Approach. Prentice Hall, USA
2 Rich. Elain andKevin Knight. 1991. Artifical Intelligence. TMH. New Delhi.
Artificial intelligence in agricultural engineering Reference Books
1.Patrik Henry Winston. 1992. Artificial Intelligence. Norsa Publishing House, New Delhi.
Scoring Marks in Artificial intelligence in agricultural engineering
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Information about JNTU-K B.Tech R19 Artificial intelligence in agricultural engineering was provided in detail in this article. To know more about the syllabus of other Engineering Subjects of JNTUH check out the official CynoHub application. Click below to download the CynoHub application.
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