Curriculum Overview
The B.Tech in Agriculture program at Geeta University Panipat is structured over eight semesters, combining foundational science subjects with specialized courses in agriculture and related technologies. The curriculum emphasizes both theoretical knowledge and practical application, preparing students for diverse roles in the agricultural sector.
Semester | Course Code | Course Title | Credit (L-T-P-C) | Prerequisites |
---|---|---|---|---|
1 | AG-101 | Introduction to Agriculture | 3-0-0-3 | - |
1 | AG-102 | Environmental Science | 3-0-0-3 | - |
1 | AG-103 | Chemistry for Agriculture | 3-0-0-3 | - |
1 | AG-104 | Mathematics I | 4-0-0-4 | - |
1 | AG-105 | Physics for Agriculture | 3-0-0-3 | - |
2 | AG-201 | Soil Science | 3-0-0-3 | AG-103 |
2 | AG-202 | Plant Physiology | 3-0-0-3 | - |
2 | AG-203 | Crop Production | 3-0-0-3 | - |
2 | AG-204 | Entomology | 3-0-0-3 | - |
2 | AG-205 | Agricultural Economics | 3-0-0-3 | - |
3 | AG-301 | Sustainable Agriculture | 3-0-0-3 | AG-201, AG-202 |
3 | AG-302 | Precision Farming | 3-0-0-3 | AG-201, AG-202 |
3 | AG-303 | Agricultural Biotechnology | 3-0-0-3 | AG-202 |
3 | AG-304 | Rural Development | 3-0-0-3 | - |
3 | AG-305 | Water Management | 3-0-0-3 | - |
4 | AG-401 | Climate Resilient Crops | 3-0-0-3 | AG-201, AG-202 |
4 | AG-402 | Post-Harvest Technology | 3-0-0-3 | AG-202 |
4 | AG-403 | Agroforestry Systems | 3-0-0-3 | AG-201, AG-202 |
4 | AG-404 | Advanced Soil Science | 3-0-0-3 | AG-201 |
4 | AG-405 | Data Analytics in Agriculture | 3-0-0-3 | AG-104 |
5 | AG-501 | Research Methods in Agriculture | 2-0-0-2 | - |
5 | AG-502 | Advanced Crop Production | 3-0-0-3 | AG-203 |
5 | AG-503 | AgriTech Innovation Lab | 2-0-4-4 | - |
5 | AG-504 | Policy and Governance in Agriculture | 3-0-0-3 | - |
5 | AG-505 | Entrepreneurship in Agri-Business | 2-0-0-2 | - |
6 | AG-601 | Mini Project I | 0-0-4-4 | - |
6 | AG-602 | Mini Project II | 0-0-4-4 | - |
6 | AG-603 | Field Studies | 0-0-6-6 | - |
7 | AG-701 | Capstone Project I | 0-0-8-8 | - |
7 | AG-702 | Capstone Project II | 0-0-8-8 | - |
7 | AG-703 | Industrial Internship | 0-0-6-6 | - |
8 | AG-801 | Final Thesis | 0-0-8-8 | - |
Advanced Departmental Electives
The department offers several advanced elective courses that allow students to delve deeper into specialized areas within agriculture:
1. Sustainable Agriculture Techniques: This course explores sustainable practices such as organic farming, permaculture, integrated pest management, and carbon sequestration in soil. Students learn how to implement these techniques in real-world scenarios while understanding their economic implications.
2. Precision Farming Technologies: Focuses on GPS mapping, remote sensing, drone usage, and IoT sensors for crop monitoring. The course includes hands-on experience with precision agriculture tools and software used by leading agri-tech firms.
3. Agricultural Biotechnology: Covers molecular biology applications in crop improvement, genetic engineering, bioinformatics, and the ethical considerations surrounding GM crops. Students gain laboratory skills in DNA extraction, PCR amplification, and gene cloning.
4. Climate Resilient Crop Varieties: Examines breeding strategies for developing drought-tolerant, heat-resistant, and salinity-tolerant crop varieties. Includes discussions on climate modeling, genetic diversity, and conservation efforts.
5. Water Management in Agriculture: Studies irrigation efficiency, rainwater harvesting systems, groundwater depletion, and water-use optimization techniques. Students learn to design sustainable water management plans for different agricultural regions.
6. Agroforestry Systems: Explores the integration of trees with crops and livestock to enhance productivity and biodiversity. The course includes field visits to agroforestry sites and case studies from various countries.
7. Post-Harvest Technology: Focuses on reducing losses during storage, processing, packaging, and transportation. Students study modern preservation techniques, quality control methods, and food safety regulations.
8. Data Analytics in Agriculture: Teaches statistical analysis, machine learning algorithms, and predictive modeling for crop yield forecasting and resource allocation. Includes exposure to big data platforms and agricultural databases.
9. Rural Development and Policy: Analyzes rural livelihoods, poverty alleviation strategies, government policies, and institutional frameworks. Students engage in policy simulations and field research projects.
10. Agri-Entrepreneurship: Encourages innovation and business development in agriculture. Covers startup creation, market analysis, funding mechanisms, and intellectual property rights in the agri-sector.
Project-Based Learning Philosophy
The department strongly believes in project-based learning as a core pedagogical strategy. This approach integrates classroom instruction with practical application, enabling students to develop critical thinking, problem-solving, and teamwork skills essential for success in agriculture.
Mini-projects are conducted throughout the third and fourth years, allowing students to explore specific research areas under faculty supervision. These projects typically last 4-6 weeks and involve data collection, analysis, and presentation of findings.
The final-year capstone project is a major undertaking that requires students to propose, design, execute, and present an original research or innovation project. Projects are selected based on student interests, faculty expertise, and industry relevance. Students often collaborate with external partners, including agri-tech startups, NGOs, and government agencies.
Evaluation criteria for projects include scientific rigor, creativity, feasibility, impact potential, and presentation quality. Faculty mentors provide guidance throughout the process, ensuring that students produce high-quality outputs that contribute meaningfully to the field of agriculture.