Curriculum
The curriculum of the Agriculture program at Dr Subhash University Junagadh is meticulously designed to provide a balanced mix of theoretical knowledge, practical skills, and real-world applications. It spans eight semesters with a carefully curated sequence of core courses, departmental electives, science electives, and laboratory sessions.
Semester | Course Code | Course Title | Credit Structure (L-T-P-C) | Prerequisites |
---|---|---|---|---|
1 | AG-101 | Introduction to Agriculture | 2-0-0-2 | - |
1 | AG-102 | Agricultural Chemistry | 3-0-0-3 | - |
1 | AG-103 | Plant Physiology | 3-0-0-3 | - |
1 | AG-104 | Soil Science | 3-0-0-3 | - |
1 | AG-105 | Botany | 3-0-0-3 | - |
1 | AG-106 | Zoology | 3-0-0-3 | - |
1 | AG-107 | Environmental Studies | 2-0-0-2 | - |
1 | AG-108 | Agricultural Lab Practical I | 0-0-6-3 | - |
2 | AG-201 | Plant Pathology | 3-0-0-3 | AG-105, AG-106 |
2 | AG-202 | Genetics and Breeding | 3-0-0-3 | AG-105 |
2 | AG-203 | Crop Production Techniques | 3-0-0-3 | AG-104, AG-105 |
2 | AG-204 | Agricultural Engineering Principles | 3-0-0-3 | - |
2 | AG-205 | Agricultural Economics | 3-0-0-3 | - |
2 | AG-206 | Agricultural Lab Practical II | 0-0-6-3 | AG-108 |
3 | AG-301 | Advanced Plant Physiology | 3-0-0-3 | AG-103 |
3 | AG-302 | Molecular Biology of Plants | 3-0-0-3 | AG-105, AG-106 |
3 | AG-303 | Data Analytics for Agriculture | 3-0-0-3 | AG-205 |
3 | AG-304 | Remote Sensing and GIS Applications | 3-0-0-3 | AG-104 |
3 | AG-305 | Climate Change Adaptation Strategies | 3-0-0-3 | - |
3 | AG-306 | Agricultural Lab Practical III | 0-0-6-3 | AG-206 |
4 | AG-401 | Agri-Biotechnology | 3-0-0-3 | AG-302 |
4 | AG-402 | Precision Agriculture | 3-0-0-3 | AG-304 |
4 | AG-403 | Sustainable Farming Systems | 3-0-0-3 | - |
4 | AG-404 | Agricultural Economics and Policy | 3-0-0-3 | AG-205 |
4 | AG-405 | Agricultural Lab Practical IV | 0-0-6-3 | AG-306 |
5 | AG-501 | Plant Pathology and Crop Protection | 3-0-0-3 | AG-201 |
5 | AG-502 | Soil Science and Water Resources | 3-0-0-3 | AG-104 |
5 | AG-503 | Agricultural Informatics | 3-0-0-3 | AG-303 |
5 | AG-504 | Agri-Entrepreneurship | 3-0-0-3 | - |
5 | AG-505 | Agricultural Lab Practical V | 0-0-6-3 | AG-405 |
6 | AG-601 | Specialized Elective I | 3-0-0-3 | - |
6 | AG-602 | Specialized Elective II | 3-0-0-3 | - |
6 | AG-603 | Agricultural Lab Practical VI | 0-0-6-3 | AG-505 |
7 | AG-701 | Specialized Elective III | 3-0-0-3 | - |
7 | AG-702 | Specialized Elective IV | 3-0-0-3 | - |
7 | AG-703 | Agricultural Lab Practical VII | 0-0-6-3 | AG-603 |
8 | AG-801 | Final Year Project/Capstone | 0-0-12-6 | - |
8 | AG-802 | Agricultural Lab Practical VIII | 0-0-6-3 | AG-703 |
The department places significant emphasis on project-based learning to ensure that students develop a deep understanding of agricultural concepts and their practical applications. Mini-projects are introduced in the second year, allowing students to apply theoretical knowledge to real-world problems. These projects involve small-scale experiments, case studies, or field investigations supervised by faculty members.
The final-year capstone project is a major component of the curriculum, requiring students to work independently or in teams on an advanced research or development task. Projects are selected based on current industry needs, academic interest, or societal impact. Students collaborate closely with faculty mentors throughout the process, receiving guidance on literature review, methodology, data collection, analysis, and presentation skills.
Advanced departmental elective courses include:
- Agri-Biotechnology: This course covers advanced topics in genetic engineering, molecular diagnostics, plant transformation techniques, and bioprocess development. Students learn to design and execute experiments using modern biotechnological tools and understand the ethical implications of genetic modifications in agriculture.
- Precision Agriculture: This course explores the integration of GIS, remote sensing, IoT sensors, GPS technology, and data analytics in optimizing agricultural practices. Students gain hands-on experience with drone operations, satellite imagery analysis, crop modeling software, and decision support systems.
- Sustainable Farming Systems: Focused on eco-friendly farming practices, this course teaches students about organic farming methods, integrated pest management, soil health restoration, water conservation techniques, and carbon footprint reduction strategies.
- Agricultural Economics and Policy: This elective introduces students to economic principles specific to agriculture, including market analysis, supply chain management, rural development planning, agricultural finance, and policy evaluation. Students learn how to assess the economic viability of farming practices and recommend sound policies for sustainable growth.
- Plant Pathology and Crop Protection: This course delves into the biology of plant pathogens, disease identification, epidemiology, and integrated pest control strategies. Students study the role of fungicides, bactericides, biological controls, and resistant varieties in managing crop diseases effectively.
- Soil Science and Water Resources: This course examines soil physics, hydrology, irrigation engineering, watershed management, land degradation control, and nutrient cycling processes. Students learn to evaluate soil quality, manage water resources sustainably, and implement land reclamation techniques.
- Agricultural Informatics: Combining computer science with agricultural data analysis, this course covers programming languages, database design, machine learning algorithms, spatial data analysis, and digital agriculture tools. Students develop skills in building data-driven applications for agricultural decision-making.
- Agri-Entrepreneurship: This course focuses on developing business acumen and entrepreneurial skills within the agricultural domain. Students explore startup creation, venture capital, intellectual property rights, agri-tech innovation, and sustainable business models through case studies and practical exercises.