Brief Introduction of Course:
This course introduces a mathematical applications to obtain a decision tools for different agricultural cropping systems and Machineries in agriculture.
The learner’s perception and historic practices can be tabulated or incorporated to make an advancement
Unit I: Mathematical Modelling: Introduction to modelling and simulation, Classification of systems into continuous and discrete, Structural characterization of mathematical model and validationtechniques
Unit II: Modelling Techniques: Dimensional analysis: Concept behind dimensional approach, Buckingham Pi theorem, Models using dimensional approach – Continuous approach: Models based on physical laws
Unit III: Discrete Approach: Models based on discrete approach. Prey – Predator models – Combat Modelling: Modelling the Lanchester laws with System Dynamics –
Unit IV: System Analysis: The state of a system, mathematical models of continuous linear lumped parameter, time invariant systems, Discrete time systems, Linear approximation of non-linear systems, Topological models of system, Block diagram representation, Signal flow graph, and Mason ‘s rule. A generalized approach to modelling.Principles of conservation and continuity and Applications.Basics of simulatortechnology.
Outcome: The mathematical modelling in agricultural robotics, drones and AGVs is an outcome from course learner .It is expected to develop a case studies and applications oriented IOT tools for digital information system applications particularly extended ability in developing a crop based calculative, modelling.