Course Structure Overview
The Agriculture program at Mata Tripura Sundari Open University Gomati is structured over eight semesters, with a blend of core subjects, departmental electives, science electives, and laboratory work designed to provide a well-rounded education in modern agricultural practices.
Semester | Course Code | Course Title | Credit Structure (L-T-P-C) | Pre-requisites |
---|---|---|---|---|
1 | AG 101 | Introduction to Agriculture | 3-0-0-3 | - |
1 | AG 102 | Biology for Agriculture | 3-0-0-3 | - |
1 | AG 103 | Chemistry for Agricultural Sciences | 3-0-0-3 | - |
1 | AG 104 | Environmental Science | 3-0-0-3 | - |
1 | AG 105 | Lab: Biology and Chemistry | 0-0-3-1.5 | - |
2 | AG 201 | Plant Physiology | 3-0-0-3 | AG 102 |
2 | AG 202 | Soil Science | 3-0-0-3 | - |
2 | AG 203 | Agricultural Economics | 3-0-0-3 | - |
2 | AG 204 | Farm Management | 3-0-0-3 | - |
2 | AG 205 | Lab: Soil and Farming Practices | 0-0-3-1.5 | - |
3 | AG 301 | Plant Breeding | 3-0-0-3 | AG 201 |
3 | AG 302 | Agro-Environmental Impact Assessment | 3-0-0-3 | - |
3 | AG 303 | Departmental Elective I | 3-0-0-3 | - |
3 | AG 304 | Lab: Plant Breeding and Genetics | 0-0-3-1.5 | - |
4 | AG 401 | Nanotechnology in Crop Protection | 3-0-0-3 | AG 201 |
4 | AG 402 | Organic Farming Systems | 3-0-0-3 | - |
4 | AG 403 | Agricultural Policy and Governance | 3-0-0-3 | - |
4 | AG 404 | Lab: Nanotechnology Applications | 0-0-3-1.5 | - |
5 | AG 501 | Remote Sensing for Agriculture | 3-0-0-3 | - |
5 | AG 502 | Drones and GIS in Farming | 3-0-0-3 | - |
5 | AG 503 | Data Analytics for Crop Monitoring | 3-0-0-3 | - |
5 | AG 504 | Lab: Data Analysis and GIS | 0-0-3-1.5 | - |
6 | AG 601 | Food Processing Technologies | 3-0-0-3 | - |
6 | AG 602 | Storage and Packaging Innovations | 3-0-0-3 | - |
6 | AG 603 | Quality Control in Agro-Products | 3-0-0-3 | - |
6 | AG 604 | Lab: Food Processing and Packaging | 0-0-3-1.5 | - |
7 | AG 701 | Adaptive Farming Systems | 3-0-0-3 | - |
7 | AG 702 | Water Management Under Climate Stress | 3-0-0-3 | - |
7 | AG 703 | Disaster Risk Reduction in Agriculture | 3-0-0-3 | - |
7 | AG 704 | Lab: Climate Adaptation Strategies | 0-0-3-1.5 | - |
8 | AG 801 | Agricultural Innovation Challenge (Capstone Project) | 0-0-6-6 | - |
8 | AG 802 | Internship | 0-0-0-6 | - |
Advanced Departmental Elective Courses
These advanced elective courses are offered in the later semesters to allow students to specialize in specific areas of interest and gain deeper insights into emerging trends in agriculture.
- Nanotechnology in Crop Protection: This course explores how nanomaterials can be used to enhance crop protection, reduce pesticide usage, and improve yield quality. Students learn about the synthesis, characterization, and application of nanoparticles in plant diseases and pest control.
- Organic Farming Systems: Designed for students interested in sustainable agriculture, this course covers organic certification standards, natural farming practices, composting methods, and integration of biodiversity conservation with agricultural productivity.
- Agricultural Policy and Governance: This course examines national and international policies that affect agricultural production, trade, and rural development. It includes case studies on land reforms, subsidies, market regulation, and farmer welfare schemes.
- Remote Sensing for Agriculture: Students learn to use satellite imagery and remote sensing technologies to monitor crop health, assess soil moisture, and predict yields. The course also covers image processing techniques and data interpretation tools.
- Drones and GIS in Farming: This course introduces students to drone technology and geographic information systems (GIS) for precision agriculture. It includes hands-on training on flight planning, aerial mapping, and integration of GPS data with farm management decisions.
- Data Analytics for Crop Monitoring: Focused on using big data analytics for decision-making in agriculture, this course teaches students how to collect, clean, analyze, and visualize agricultural datasets to improve productivity and sustainability.
- Food Processing Technologies: This course explores modern techniques used in food preservation, packaging, and processing. Students gain practical knowledge of HACCP principles, thermal processing, fermentation, and quality assurance standards.
- Storage and Packaging Innovations: Students learn about post-harvest losses reduction through improved storage and packaging technologies. Topics include cold chain logistics, packaging materials, and innovative storage solutions for different types of produce.
- Quality Control in Agro-Products: This course emphasizes the importance of maintaining product quality throughout the supply chain. Students study regulatory frameworks, testing procedures, labeling requirements, and traceability systems.
- Adaptive Farming Systems: Focused on climate change adaptation strategies, this course discusses resilient cropping systems, drought-resistant varieties, and water-efficient cultivation practices tailored to local conditions.
Project-Based Learning Philosophy
The department believes in fostering innovation through project-based learning, which allows students to apply theoretical concepts to real-world problems. Projects are categorized into two types:
- Mini-Projects (Semester 3 and 4): These are smaller-scale initiatives that allow students to explore a specific area of interest under faculty supervision. Mini-projects typically last 2–3 months and involve research, experimentation, or fieldwork.
- Final-Year Thesis/Capstone Project (Semester 8): This is a comprehensive, year-long project that requires students to identify a significant agricultural challenge, propose a solution, and present findings in a formal report and presentation. Projects are often collaborative and may involve external organizations or industry partners.
The selection process for projects involves a combination of student preferences, faculty availability, and alignment with current research priorities. Faculty mentors guide students through each stage of the project lifecycle, from conceptualization to execution and final evaluation.