Comprehensive Course Structure Overview
The Agriculture program at Pdm University Haryana is structured over 8 semesters, with a balanced mix of foundational science courses, core engineering subjects, departmental electives, and practical laboratory sessions. The curriculum is designed to provide students with both theoretical knowledge and real-world application skills essential for a successful career in modern agriculture.
| Semester | Course Code | Course Title | Credit (L-T-P-C) | Prerequisites |
|---|---|---|---|---|
| 1 | AG-101 | Introduction to Agricultural Science | 3-0-0-3 | - |
| 1 | AG-102 | Basic Biology and Chemistry | 4-0-0-4 | - |
| 1 | AG-103 | Physics for Agriculture | 3-0-0-3 | - |
| 1 | AG-104 | Mathematics for Agricultural Sciences | 3-0-0-3 | - |
| 1 | AG-105 | Environmental Science | 3-0-0-3 | - |
| 1 | AG-106 | Laboratory Skills in Agriculture | 0-0-4-2 | - |
| 2 | AG-201 | Soil Science and Management | 3-0-0-3 | AG-102 |
| 2 | AG-202 | Plant Physiology | 3-0-0-3 | AG-102 |
| 2 | AG-203 | Agro-Ecology and Ecosystems | 3-0-0-3 | - |
| 2 | AG-204 | Agricultural Economics | 3-0-0-3 | - |
| 2 | AG-205 | Introduction to Farm Machinery | 3-0-0-3 | - |
| 2 | AG-206 | Field Crop Production Techniques | 0-0-4-2 | AG-105 |
| 3 | AG-301 | Irrigation and Water Resources Management | 3-0-0-3 | AG-201 |
| 3 | AG-302 | Crop Protection and Pests Management | 3-0-0-3 | AG-202 |
| 3 | AG-303 | Agricultural Engineering Principles | 3-0-0-3 | AG-103 |
| 3 | AG-304 | Data Analytics in Agriculture | 3-0-0-3 | AG-104 |
| 3 | AG-305 | Agricultural Policy and Extension | 3-0-0-3 | - |
| 3 | AG-306 | Laboratory in Crop Management | 0-0-4-2 | AG-205 |
| 4 | AG-401 | Remote Sensing and GIS in Agriculture | 3-0-0-3 | AG-304 |
| 4 | AG-402 | Biotechnology in Crop Improvement | 3-0-0-3 | AG-202 |
| 4 | AG-403 | Agricultural Economics and Market Analysis | 3-0-0-3 | AG-204 |
| 4 | AG-404 | Climate-Smart Agriculture | 3-0-0-3 | - |
| 4 | AG-405 | Food Processing and Preservation | 3-0-0-3 | AG-202 |
| 4 | AG-406 | Laboratory in Biotechnology | 0-0-4-2 | AG-202 |
| 5 | AG-501 | Agricultural Marketing and Supply Chain | 3-0-0-3 | AG-204 |
| 5 | AG-502 | Agri-Tech Innovation and Entrepreneurship | 3-0-0-3 | - |
| 5 | AG-503 | Advanced Crop Physiology | 3-0-0-3 | AG-202 |
| 5 | AG-504 | Digital Agriculture and IoT Applications | 3-0-0-3 | AG-304 |
| 5 | AG-505 | Agricultural Risk Management | 3-0-0-3 | - |
| 5 | AG-506 | Laboratory in Digital Agriculture | 0-0-4-2 | AG-404 |
| 6 | AG-601 | Agri-Business Strategy and Innovation | 3-0-0-3 | AG-501 |
| 6 | AG-602 | Agricultural Data Science | 3-0-0-3 | AG-304 |
| 6 | AG-603 | Sustainable Agriculture Practices | 3-0-0-3 | - |
| 6 | AG-604 | Research Methodology and Project Design | 3-0-0-3 | - |
| 6 | AG-605 | Laboratory in Sustainable Agriculture | 0-0-4-2 | - |
| 7 | AG-701 | Advanced Research Project | 0-0-8-6 | AG-604 |
| 7 | AG-702 | Internship in Agriculture Sector | 0-0-8-6 | - |
| 8 | AG-801 | Final Year Thesis/Capstone Project | 0-0-12-10 | AG-701 |
Detailed Departmental Elective Courses
The following departmental elective courses are offered in the final years of the program:
- Smart Irrigation Systems: This course explores modern irrigation techniques including drip, sprinkler, and micro-sprinkler systems, focusing on water efficiency and automation. Students learn to design and implement smart irrigation solutions using sensors, controllers, and data analytics tools.
- Bioinformatics for Crop Improvement: Combines computational biology with plant genetics to analyze genomic data for crop breeding. Topics include genome sequencing, gene expression analysis, and marker-assisted selection techniques.
- Agronomic Modeling and Simulation: Utilizes mathematical models to predict crop growth, yield potential, and environmental impacts. Students work with simulation software like DSSAT and APSIM to understand field-level dynamics.
- Precision Agriculture Technologies: Covers GPS-guided farming equipment, UAV-based crop monitoring, and remote sensing applications in agriculture. The course emphasizes data interpretation and decision-making frameworks for farm management.
- Post-Harvest Handling and Storage: Focuses on reducing food loss through proper storage techniques, packaging innovations, and cold chain logistics. Students explore technologies like modified atmosphere packaging and controlled environment storage.
- Organic Farming Systems: Explores organic production methods, certification processes, and market trends in organic agriculture. Includes hands-on sessions on composting, natural pest control, and sustainable soil management.
- Crop Insurance and Risk Mitigation: Teaches the principles of agricultural risk management, including crop insurance products, weather-based derivatives, and government support schemes for farmers.
- Water Conservation in Agriculture: Addresses water scarcity issues through rainwater harvesting, watershed management, and efficient irrigation practices. Students gain experience with field experiments and policy analysis.
- Agricultural Economics and Policy Analysis: Analyzes market structures, trade policies, and rural development initiatives affecting agricultural productivity. Uses econometric models to evaluate policy impact and recommend improvements.
- Agri-Tech Startup Ecosystem: Introduces students to entrepreneurship in agriculture by analyzing startup success stories, funding sources, and innovation hubs globally. Includes guest lectures from successful agri-tech founders.
Project-Based Learning Framework
Project-based learning is central to the Agriculture program at Pdm University Haryana. Students engage in a structured progression of mini-projects followed by a comprehensive final-year thesis or capstone project.
Mini-projects begin in the second year, where students are assigned tasks such as designing a small-scale irrigation system, analyzing soil nutrient levels, or conducting a field survey on crop diseases. These projects help build foundational skills in data collection, analysis, and reporting.
The third-year capstone project involves a more substantial research endeavor under faculty supervision. Students select topics related to sustainable agriculture, climate adaptation, or innovation in agri-tech. Projects may include developing a prototype for smart farming equipment, conducting an economic viability study of a new crop variety, or implementing a precision agriculture solution on a local farm.
Final-year thesis projects are typically more independent and research-intensive. Students choose their own topic within the scope of agricultural science or engineering, working closely with a faculty advisor to design experiments, gather data, and present findings. The final submission includes a written report, presentation, and demonstration of practical applications.