Artificial Intelligence and Expert Systems is an applicant tool for advanced Mechatronics devices such as Automated Guided Vehicles (AGVs).The course module is introduced for Agricultural Robots, Agricultural Drones and Agri AGVs applications.
- To provide a platform for students studying Robotic, Drones and AGVs for intelligent applications
- To develop a competitive logical attitude in attending the severe agricultural problems and theirsolutions.
- To exercise a logical system tools by expert agricultural practices bylogistics
Introduction to AI, Knowledge-based Intelligent Systems, and Rule based Expert Systems; Unit I: Uncertainty Management in rule-based expert systems: Introduction to Uncertainty, Basic Probability Theory, Bayesian reasoning, Certainty Factors;
Unit II: Fuzzy Expert Systems: Introduction to Fuzzy thinking, Linguistics variables and Hedges, Fuzzy Rules, Fuzzy Inference, Defuzzification;
Unit III: Learning: Overview of different forms of learning, Learning Decision Trees, Neural Networks, and Natural LanguageProcessing.
Unit IV: Artificial Neural Networks: Basics of Neuron, Perceptron, Multi-layer neural network, Hop-field network, Self-Organizing Neural Networks;
Unit V: Evolutionary Computation: Genetic Algorithms, Evolution Strategies
Unit VI: Hybrid Intelligent Systems: Neuro-Fuzzy, ANFIS; Probabilities, Bayesian Networks.
Unit VII: Applications of AI in Robotics: Subsumption Robots, Subsumption Architecture, Strengths and Weaknesses of the Architecture. Sensors, vision camera etc. for perception and obstacle avoidance.
Outcome: The course learner will develop an artificial intelligence based design and development of Agribots Agridrones and Agri-AGVs. The different intelligent systems can merge for different agricultural operations to obtain a compatible devices in agriculture. The algorithms for neural network, machine learning system can be developed.