Course Structure Overview
The Agriculture program at Netaji Subhas University Jamshedpur spans four years, comprising eight semesters. Each semester includes core courses, departmental electives, science electives, and laboratory sessions designed to build a strong foundation in agricultural sciences.
Semester | Course Code | Course Title | Credits (L-T-P-C) | Prerequisites |
---|---|---|---|---|
I | AG101 | Introduction to Agriculture | 3-0-0-3 | - |
I | AG102 | Agricultural Chemistry | 3-0-0-3 | - |
I | AG103 | Plant Physiology | 3-0-0-3 | - |
I | AG104 | Soil Science | 3-0-0-3 | - |
I | AG105 | Basic Biology for Agriculture | 3-0-0-3 | - |
I | AG106 | Field Work I | 0-0-2-1 | - |
II | AG201 | Crop Production Technology | 3-0-0-3 | AG101, AG103 |
II | AG202 | Entomology | 3-0-0-3 | AG101 |
II | AG203 | Agronomy Principles | 3-0-0-3 | AG104 |
II | AG204 | Introduction to Biotechnology | 3-0-0-3 | AG105 |
II | AG205 | Field Work II | 0-0-2-1 | AG106 |
III | AG301 | Agricultural Economics | 3-0-0-3 | AG201 |
III | AG302 | Sustainable Farming Systems | 3-0-0-3 | AG201, AG203 |
III | AG303 | Plant Pathology | 3-0-0-3 | AG105 |
III | AG304 | Water Resources Management | 3-0-0-3 | AG104 |
III | AG305 | Mini Project I | 0-0-2-2 | AG205 |
IV | AG401 | Precision Agriculture | 3-0-0-3 | AG302, AG304 |
IV | AG402 | Agricultural Biotechnology | 3-0-0-3 | AG204, AG303 |
IV | AG403 | Food Processing Technology | 3-0-0-3 | AG105 |
IV | AG404 | Environmental Impact Assessment | 3-0-0-3 | AG201 |
IV | AG405 | Mini Project II | 0-0-2-2 | AG305 |
V | AG501 | Agricultural Policy and Planning | 3-0-0-3 | AG301 |
V | AG502 | Agri-Entrepreneurship | 3-0-0-3 | AG401, AG402 |
V | AG503 | Advanced Crop Protection | 3-0-0-3 | AG303 |
V | AG504 | Agri-Data Analytics | 3-0-0-3 | AG401, AG404 |
V | AG505 | Capstone Project I | 0-0-4-4 | AG405 |
VI | AG601 | Special Topics in Agri-Biotech | 3-0-0-3 | AG502 |
VI | AG602 | Research Methodology | 3-0-0-3 | AG504 |
VI | AG603 | Agri-Innovation Lab | 0-0-2-2 | AG505 |
VI | AG604 | Capstone Project II | 0-0-4-4 | AG603 |
VII | AG701 | Internship in Agriculture | 0-0-0-8 | AG604 |
VIII | AG801 | Final Thesis | 0-0-0-12 | AG701 |
Detailed Departmental Electives
Advanced departmental elective courses are designed to provide in-depth knowledge and specialized skills relevant to modern agricultural practices:
- Biostatistics in Agriculture: This course introduces statistical methods used in agricultural research, including hypothesis testing, regression analysis, and experimental design. Students learn how to interpret data from field trials and make informed decisions based on scientific evidence.
- Remote Sensing for Crop Monitoring: Using satellite imagery and drones, students learn how to monitor crop health, detect diseases, and optimize irrigation schedules. The course includes hands-on training in software tools like ENVI and QGIS.
- Agri-Data Analytics: This course focuses on analyzing large datasets from farms to predict yields, manage resources efficiently, and improve profitability. Students are trained in Python, R, and SQL for data manipulation and visualization.
- Crop Protection Strategies: Covers pest control techniques, integrated pest management (IPM), and sustainable alternatives to chemical pesticides. Practical sessions include identifying pests and applying biopesticides effectively.
- Agricultural Microbiology: Explores the role of microorganisms in soil fertility, plant growth promotion, and disease suppression. Students conduct experiments to isolate beneficial microbes and assess their potential for enhancing productivity.
- Precision Agriculture Technologies: Introduces GPS mapping, sensor networks, and automation technologies that optimize resource use in farming. Students gain experience with robotic harvesters and automated irrigation systems.
- Sustainable Farming Systems: Emphasizes eco-friendly practices such as crop rotation, organic farming, and composting. The course includes case studies from successful farms implementing sustainable models.
- Food Quality and Safety: Examines standards and regulations governing food production, storage, and distribution. Students learn about HACCP (Hazard Analysis Critical Control Point) and traceability systems to ensure consumer safety.
- Agricultural Marketing & Supply Chain Management: Provides insights into market dynamics, branding strategies, and logistics optimization in agriculture. Real-world examples from companies like ITC and Cargill illustrate supply chain challenges and solutions.
- Agri-Technology Startups: Focuses on identifying business opportunities in agri-tech, developing pitch decks, and securing funding for innovative ventures. Students participate in a startup competition with mentorship from industry experts.
Project-Based Learning Philosophy
The Agriculture program emphasizes project-based learning as a core component of the educational experience. From the second year onwards, students engage in structured mini-projects and culminate in a final-year capstone thesis under faculty supervision.
Mini-projects are assigned during the third and fourth semesters to allow students to explore specific areas of interest within agriculture. These projects involve literature reviews, data collection, analysis, and presentation skills development. Projects may focus on topics such as improving crop yield through biofertilizers, designing efficient irrigation systems, or analyzing the economic viability of organic farming.
The final-year thesis project is a comprehensive research endeavor that spans two semesters. Students select their projects in consultation with faculty mentors, ensuring alignment with current industry needs and research gaps. The thesis process includes proposal writing, data collection, experimental design, and formal defense before a panel of experts.
Evaluation criteria for all projects include technical competence, innovation, clarity of communication, adherence to timelines, and ethical considerations. Students are encouraged to collaborate with peers from other disciplines, fostering interdisciplinary thinking and problem-solving capabilities.