Comprehensive Course Structure Across 8 Semesters
| Semester | Course Code | Full Course Title | Credit Structure (L-T-P-C) | Prerequisites |
|---|---|---|---|---|
| 1 | AG101 | Introduction to Agriculture | 3-0-0-3 | None |
| 1 | AG102 | Basic Biology and Chemistry | 4-0-0-4 | None |
| 1 | AG103 | Physics for Agriculture | 3-0-0-3 | None |
| 1 | AG104 | Mathematics I | 4-0-0-4 | None |
| 1 | AG105 | Basic Agronomy | 3-0-0-3 | None |
| 2 | AG201 | Plant Physiology | 4-0-0-4 | AG102, AG103 |
| 2 | AG202 | Soil Science | 4-0-0-4 | AG102 |
| 2 | AG203 | Crop Production Techniques | 3-0-0-3 | AG105 |
| 2 | AG204 | Mathematics II | 4-0-0-4 | AG104 |
| 2 | AG205 | Introduction to Agricultural Economics | 3-0-0-3 | None |
| 3 | AG301 | Agricultural Biotechnology | 4-0-0-4 | AG201, AG202 |
| 3 | AG302 | Plant Pathology | 3-0-0-3 | AG201 |
| 3 | AG303 | Irrigation Engineering | 4-0-0-4 | AG103, AG202 |
| 3 | AG304 | Environmental Impact Assessment | 3-0-0-3 | AG202 |
| 3 | AG305 | Agroforestry and Forest Management | 3-0-0-3 | None |
| 4 | AG401 | Precision Agriculture Technologies | 4-0-0-4 | AG201, AG303 |
| 4 | AG402 | Data Analytics in Agriculture | 3-0-0-3 | AG204 |
| 4 | AG403 | Climate Adaptation Strategies | 3-0-0-3 | AG304 |
| 4 | AG404 | Sustainable Farming Systems | 4-0-0-4 | AG301, AG302 |
| 4 | AG405 | Post-Harvest Technology | 3-0-0-3 | AG302 |
| 5 | AG501 | Advanced Crop Breeding | 4-0-0-4 | AG301, AG302 |
| 5 | AG502 | Agricultural Policy and Planning | 3-0-0-3 | AG205 |
| 5 | AG503 | Digital Farming Systems | 4-0-0-4 | AG401, AG402 |
| 5 | AG504 | Water Conservation Techniques | 3-0-0-3 | AG303 |
| 5 | AG505 | Research Methods in Agriculture | 3-0-0-3 | None |
| 6 | AG601 | Mini Project I | 2-0-0-2 | AG505 |
| 6 | AG602 | Urban Agriculture and Food Security | 3-0-0-3 | AG404, AG502 |
| 6 | AG603 | Entrepreneurship in Agri-Tech | 3-0-0-3 | AG502 |
| 6 | AG604 | Agri-Finance and Risk Management | 3-0-0-3 | AG205 |
| 6 | AG605 | Field Visit and Data Collection | 1-0-0-1 | AG504 |
| 7 | AG701 | Mini Project II | 2-0-0-2 | AG601 |
| 7 | AG702 | Advanced Data Analytics | 3-0-0-3 | AG402 |
| 7 | AG703 | Climate Change and Agriculture | 3-0-0-3 | AG304 |
| 7 | AG704 | Global Food Systems | 3-0-0-3 | AG502 |
| 7 | AG705 | Internship Preparation | 1-0-0-1 | None |
| 8 | AG801 | Final Year Thesis/Capstone Project | 6-0-0-6 | AG701, AG702 |
| 8 | AG802 | Research Presentation and Defense | 2-0-0-2 | AG801 |
| 8 | AG803 | Professional Development Workshop | 1-0-0-1 | None |
| 8 | AG804 | Industry Exposure Program | 2-0-0-2 | AG704 |
| 8 | AG805 | Final Project Review and Evaluation | 1-0-0-1 | AG801 |
Detailed Descriptions of Advanced Departmental Electives
Several advanced departmental electives are offered in the Agriculture program to provide students with specialized knowledge and practical skills in emerging fields. These courses go beyond the standard curriculum, offering deep insights into current trends and innovations in agriculture.
Agricultural Biotechnology: This course explores the application of biotechnology in crop improvement, including genetic engineering, marker-assisted selection, and transgenic technologies. Students learn how to design experiments, analyze molecular data, and develop new crop varieties using modern tools like CRISPR-Cas9.
Plant Pathology: The study of plant diseases and their control methods is central to this course. It covers diagnostic techniques, epidemiology, fungicides, and biological control agents. Students gain hands-on experience in disease identification and management strategies through laboratory experiments and field visits.
Precision Agriculture Technologies: This course introduces students to GPS-guided machinery, drones, satellite imagery, and sensor networks used for precision farming. It emphasizes the integration of data analytics and automation in optimizing agricultural practices.
Data Analytics in Agriculture: Focused on using statistical models and machine learning algorithms to predict crop yields, analyze soil conditions, and manage farm resources efficiently. Students learn tools like Python, R, and SQL for data manipulation and visualization.
Climate Adaptation Strategies: This course addresses the challenges posed by climate change in agriculture through adaptation techniques such as drought-resistant varieties, water-efficient irrigation systems, and resilient farming practices.
Sustainable Farming Systems: Designed to promote eco-friendly practices that enhance productivity while minimizing environmental impact. Topics include organic farming, composting, integrated pest management, and agroforestry.
Post-Harvest Technology: Covers the entire post-harvest chain, from harvesting techniques to storage, packaging, processing, and marketing of agricultural products. Students learn about food safety standards, cold chain logistics, and value-added product development.
Agricultural Policy and Planning: This course analyzes government policies, subsidies, land use regulations, and rural development programs affecting agriculture. It prepares students to understand policy implications and contribute to decision-making processes at local and national levels.
Digital Farming Systems: Explores the role of digital technologies in transforming traditional farming into smart agriculture. Students learn about IoT devices, mobile apps, cloud computing platforms, and AI-based solutions for farm management.
Water Conservation Techniques: Focuses on water-efficient irrigation systems, rainwater harvesting, watershed management, and groundwater conservation methods. Practical sessions include designing efficient irrigation systems and assessing water usage patterns in farms.
Agroforestry and Forest Management: Introduces the integration of trees with crops or livestock to create sustainable agricultural ecosystems. Topics include silvopastoral systems, carbon sequestration, biodiversity conservation, and forest restoration practices.
Research Methods in Agriculture: Provides a foundation in experimental design, data collection, hypothesis testing, and scientific writing. Students learn how to conduct independent research projects and publish findings in peer-reviewed journals.
Project-Based Learning Philosophy
The department emphasizes project-based learning as a core pedagogical approach to enhance student engagement and practical understanding. Projects are structured to simulate real-world scenarios, encouraging students to apply theoretical knowledge in meaningful contexts.
Mini-projects begin in the sixth semester, where students work on small-scale research or implementation tasks under faculty supervision. These projects typically last 3–4 months and involve data collection, analysis, and presentation of findings. Evaluation is based on project documentation, oral presentations, and peer reviews.
The final-year capstone project, undertaken in the eighth semester, allows students to conduct independent research or develop an innovative solution to a pressing agricultural challenge. Projects are selected in consultation with faculty mentors and often involve collaboration with industry partners or government agencies.
Students select their project topics based on personal interests, faculty expertise, and societal relevance. The selection process involves submitting a proposal, undergoing a review by the department committee, and receiving mentorship throughout the project lifecycle.
Evaluation criteria for both mini-projects and the final thesis include clarity of objectives, methodology, originality of approach, data quality, presentation skills, and contribution to the field. This rigorous framework ensures that students develop critical thinking and problem-solving abilities essential for success in academia or industry.