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M-TECH-AGRICULTURAL-ENGINEERING in Farm Machinery And Power Engineering at Navsari Agricultural University
Navsari, Gujarat
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About the Specialization
What is Farm Machinery and Power Engineering at Navsari Agricultural University Navsari?
This Farm Machinery and Power Engineering program at Navsari Agricultural University focuses on advanced design, development, testing, and management of agricultural machinery and power sources. It addresses the growing demand for mechanization and sustainable energy solutions in Indian agriculture, aiming to enhance productivity and efficiency. The program emphasizes innovative solutions tailored for diverse farming practices across India.
Who Should Apply?
This program is ideal for Bachelor of Technology (Agricultural Engineering) or equivalent graduates seeking to specialize in agricultural mechanization. It also suits professionals in the agro-machinery sector looking to upgrade their skills in design, manufacturing, and management. Individuals passionate about developing sustainable and efficient farming technologies for India''''s agricultural landscape will find this program highly rewarding.
Why Choose This Course?
Graduates of this program can expect diverse career paths in India, including roles as design engineers, research scientists, project managers, and consultants in agricultural machinery manufacturing, government research institutions (e.g., ICAR), and NGOs. Entry-level salaries typically range from INR 4-7 LPA, with experienced professionals earning INR 8-15+ LPA. The program prepares students for leadership roles in mechanizing and modernizing Indian agriculture.
Student Success Practices
Foundation Stage
Build Strong Analytical and Research Foundations- (Semester 1-2)
Dedicate time to thoroughly understand research methodologies, statistical tools, and advanced numerical methods. Regularly practice problem-solving using relevant software. Engage actively in Seminar I and II to hone presentation and scientific writing skills.
Tools & Resources
University library resources, Statistical software tutorials (R, SAS, MATLAB), Peer study groups, Academic writing workshops
Career Connection
Strong analytical skills are crucial for data-driven decision-making in R&D roles and for interpreting complex experimental results in core engineering positions.
Master CAD and Machine Design Fundamentals- (Semester 1-2)
Excel in Computer Aided Drafting and Design (CAD) by practicing extensively with software like AutoCAD or SolidWorks. Focus on understanding the principles of machine design elements and their application to farm machinery. Seek out practical lab sessions and workshops.
Tools & Resources
CAD software licenses (university provided), Online CAD tutorials (SolidWorks, LinkedIn Learning), Design project groups
Career Connection
Proficiency in CAD is highly valued for design engineer roles in agricultural machinery manufacturing and for developing innovative farm equipment.
Engage with Core Specialization Concepts Early- (Semester 1-2)
Go beyond classroom lectures for core subjects like Advanced Farm Machinery, Farm Power, and Farm Machinery Management. Visit university farms, local machinery dealers, and agricultural expos to see machines in action and discuss practical applications with experts.
Tools & Resources
Field visits to NAU research farms and local dealers, Industry magazines and journals, Departmental labs, Faculty office hours
Career Connection
Early exposure to real-world machinery and power systems helps develop a deeper understanding and practical perspective, making you more valuable to potential employers.
Intermediate Stage
Deep Dive into Research Problem Identification- (Semester 3)
Work closely with your research advisor to identify a novel and impactful research problem within Farm Machinery and Power Engineering. Conduct extensive literature reviews using global and Indian research databases to ensure originality and relevance.
Tools & Resources
Scopus, Web of Science, Google Scholar, University thesis database, NAU library resources, Advisor meetings
Career Connection
The ability to identify and define a research problem is a core skill for R&D positions, academic careers, and for developing innovative solutions for industry.
Master Experimental Design and Data Analysis for Thesis- (Semester 3)
Rigorously plan your experimental design for your Master''''s research, ensuring statistical validity. Develop strong skills in data collection, processing, and analysis using appropriate statistical software. Regularly discuss results and challenges with your advisor and peers.
Tools & Resources
Statistical software (SAS, R, SPSS), Specific laboratory equipment, Research manuals, Peer review sessions
Career Connection
Expertise in experimental design and data analysis is critical for research scientists, product development roles, and quality assurance in the agricultural sector.
Network with Industry and Research Organizations- (Semester 3)
Attend relevant agricultural engineering conferences, workshops, and webinars (both online and offline) in India. Connect with researchers from ICAR institutions, agricultural universities, and professionals from machinery companies. Explore potential internship or project collaboration opportunities.
Tools & Resources
Conference proceedings, LinkedIn for professional networking, Professional associations (e.g., ISAE), Industry events
Career Connection
Building a professional network opens doors to job opportunities, collaborative research, and mentorship, providing valuable insights into the industry landscape.
Advanced Stage
Produce High-Quality Thesis and Publications- (Semester 4)
Dedicate significant effort to writing a well-structured, comprehensive, and scientifically sound Master''''s thesis. Aim to publish your research findings in peer-reviewed national or international journals or present them at conferences, showcasing your research capabilities.
Tools & Resources
Thesis writing guides and templates, Academic journal databases, Scientific writing tools, Faculty feedback and proofreading services
Career Connection
A strong thesis and publication record significantly enhances your profile for research positions, Ph.D. admissions, and showcases your ability to contribute original knowledge to the field.
Prepare for Thesis Defense and Viva Voce- (Semester 4)
Prepare thoroughly for your thesis defense, anticipating potential questions and practicing your presentation. Be ready to articulate your research problem, methodology, findings, and contributions clearly and concisely to an evaluation committee.
Tools & Resources
Mock defense sessions with peers/faculty, Presentation software (PowerPoint, Google Slides), Q&A practice sessions
Career Connection
Success in thesis defense demonstrates critical thinking, communication skills, and depth of knowledge, all highly valued by employers and for academic progression.
Strategize for Career Placement and Higher Studies- (Semester 4)
Actively engage with the university''''s placement cell, attend campus recruitment drives, and tailor your resume and cover letters to specific job profiles in the agricultural machinery sector. Explore Ph.D. opportunities in India and abroad if pursuing academia.
Tools & Resources
Placement cell services, Online job portals (Naukri, LinkedIn), Career counseling, Alumni network
Career Connection
Proactive career planning ensures a smooth transition from academic life to professional roles or advanced research, aligning your skills with industry demands.
Program Structure and Curriculum
Eligibility:
- B.Tech. (Agricultural Engineering) / B.E. (Agricultural Engineering) / B.Sc. (Agricultural Engineering & Technology) with minimum OGPA of 6.00/10.00 or 2.70/4.00 or 55% aggregate marks. Relaxation for SC/ST/SEBC candidates as per rules.
Duration: 4 semesters / 2 years
Credits: Minimum 70 credits Credits
Assessment: Internal: 40% (for theory courses) / 60% (for practical courses), External: 60% (for theory courses) / 40% (for practical courses)
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| AGR ENGG 601 | Research Methodology and Experimental Designs | Core Theory and Practical | 4 | Research fundamentals and problem identification, Experimental designs: CRD, RBD, LSD, Factorial, split plot, strip plot designs, Data collection, analysis, interpretation, ANOVA, correlation, regression analysis |
| AGR ENGG 602 | Advanced Numerical Methods | Core Theory | 2 | Solution of linear and non-linear equations, Interpolation and curve fitting techniques, Numerical differentiation and integration, Numerical solutions of ordinary differential equations, Introduction to finite difference and finite element methods |
| FMP 601 | Advanced Farm Machinery | Specialization Theory | 3 | Tillage machinery: design, mechanics, energy requirements, Seeding, planting, and fertilization machinery, Plant protection equipment: sprayer and duster design, Harvesting machinery: reapers, combines, mechanisms, Post-harvest machinery: threshers, cleaners, dryers |
| FMP 602 | Advanced Farm Power | Specialization Theory and Practical | 3 | Internal Combustion Engines: design, performance, testing, Tractor mechanics: transmission, steering, hydraulics, Engine systems: fuel, lubrication, cooling, ignition, Advanced power units for agricultural applications, Engine emissions and control technologies |
| FMP 603 | Farm Power and Machinery Management | Specialization Theory | 3 | Economic principles in farm machinery management, Cost analysis of farm machinery operations, Selection and replacement of farm machinery, Optimization of machinery systems and operations, Repair, maintenance, and service scheduling |
| FMP 604 | Engineering Properties of Biological Materials | Specialization Theory | 3 | Physical properties: size, shape, density, porosity, Mechanical properties: strength, elasticity, rheology, Thermal properties: specific heat, conductivity, diffusivity, Electrical and optical properties, Aerodynamic properties and their applications |
| FMP 605 | Computer Aided Drafting and Design | Specialization Practical | 1 | Introduction to CAD software (AutoCAD, SolidWorks), 2D and 3D drawing, modeling, assembly techniques, Dimensioning, tolerancing, and geometric design, Introduction to CAE (Computer Aided Engineering), Design visualization and presentation methods |
| AGR ENGG 600 | Seminar I | Seminar | 1 | Literature review and topic selection, Scientific writing and presentation skills, Seminar delivery and effective discussion, Abstract and report preparation, Communication of initial research ideas |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| AGR ENGG 603 | Statistical Methods in Engineering Research | Core Theory | 2 | Probability distributions: normal, t, chi-square, F, Hypothesis testing: t-test, Z-test, chi-square test, Non-parametric statistical methods, Regression and correlation analysis for research, Applications of statistical software (SAS, R) |
| FMP 606 | Design of Farm Machines | Specialization Theory and Practical | 4 | Principles of machine design and stress analysis, Design of machine elements: shafts, gears, bearings, Design of specific farm machinery components, Material selection and manufacturing processes, Design optimization and CAD applications in design |
| FMP 607 | Tractor and Automotive Engineering | Specialization Theory | 3 | Tractor chassis, frame, and body design, Power transmission systems: clutch, gearbox, final drive, Steering, braking, and suspension systems, Hydraulic systems and their applications in tractors, Automotive engine types and performance characteristics |
| FMP 608 | Renewable Energy Sources and Applications | Specialization Theory | 3 | Solar energy: collectors, PV systems, agricultural applications, Wind energy: turbines, site selection, power generation, Biomass energy: biogas, gasification, bio-fuels, Geothermal and micro-hydro energy basics, Energy storage and conversion technologies in agriculture |
| FMP 609 | Testing and Evaluation of Farm Machinery | Specialization Theory and Practical | 3 | Testing standards and protocols (BIS, OECD), Performance parameters: field capacity, efficiency, power, Measurement techniques and instrumentation, Test codes for tractors and various farm machines, Reporting and interpretation of test results |
| FMP 610 | Instrumentation and Automatic Controls in Farm Machinery | Elective Theory | 3 | Sensors and transducers for agricultural applications, Control systems: open loop, closed loop, feedback, Programmable Logic Controllers (PLCs) in farm equipment, Data acquisition systems for precision agriculture, Introduction to precision agriculture technologies |
| FMP 611 | Ergonomics and Safety in Agricultural Operations | Elective Theory | 3 | Principles of ergonomics in agricultural design, Anthropometry and biomechanics in farm work, Occupational hazards and safety standards in agriculture, Design for safety in farm machinery, Accident prevention and first aid practices |
| FMP 612 | Post Harvest Machinery | Elective Theory | 3 | Cleaning and grading equipment for agricultural produce, Drying and storage machinery design, Milling and processing equipment for grains, Handling and packaging systems for agricultural products, Quality control in post-harvest operations |
| AGR ENGG 600 | Seminar II | Seminar | 1 | Advanced literature review and critical analysis, Research proposal development and presentation, Scientific presentation techniques and technical communication, Critical analysis of scientific research work, Preparation for pre-thesis seminar |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| AGR ENGG 699 | Master''''s Research | Research | 20 | Research problem formulation and objective setting, Methodology development and experimental design, Execution of research experiments and data collection, Data analysis, interpretation, and discussion of results, Preparation of thesis chapters and preliminary findings |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| AGR ENGG 699 | Master''''s Research | Research | 20 | Continuation of experimental work and data analysis, Comprehensive thesis writing and documentation, Scientific paper writing and submission, Preparation for thesis defense and viva voce examination, Finalization of research findings and conclusions |
