Course Structure
| Semester | Course Code | Course Title | Credit (L-T-P-C) | Prerequisites |
|---|---|---|---|---|
| 1 | AG101 | Introduction to Agriculture | 3-1-0-4 | - |
| 1 | AG102 | Basic Biology for Agriculture | 3-1-0-4 | - |
| 1 | AG103 | Chemistry for Agronomy | 3-1-0-4 | - |
| 1 | AG104 | Mathematics for Agriculture | 3-1-0-4 | - |
| 1 | AG105 | Physics for Agriculture | 3-1-0-4 | - |
| 1 | AG106 | Introduction to Soil Science | 3-1-0-4 | - |
| 1 | AG107 | Laboratory Practices in Agriculture | 0-0-6-3 | - |
| 2 | AG201 | Crop Physiology and Development | 3-1-0-4 | AG102 |
| 2 | AG202 | Plant Pathology | 3-1-0-4 | AG102 |
| 2 | AG203 | Agronomy Principles | 3-1-0-4 | AG106 |
| 2 | AG204 | Agricultural Economics | 3-1-0-4 | - |
| 2 | AG205 | Entomology | 3-1-0-4 | AG102 |
| 2 | AG206 | Environmental Science | 3-1-0-4 | - |
| 2 | AG207 | Laboratory Practices in Crop Science | 0-0-6-3 | AG107 |
| 3 | AG301 | Plant Biotechnology | 3-1-0-4 | AG201 |
| 3 | AG302 | Soil Chemistry and Fertility | 3-1-0-4 | AG103 |
| 3 | AG303 | Agroecology and Biodiversity | 3-1-0-4 | AG206 |
| 3 | AG304 | Data Analytics in Agriculture | 3-1-0-4 | AG104 |
| 3 | AG305 | Sustainable Water Management | 3-1-0-4 | AG106 |
| 3 | AG306 | Climate-Smart Agriculture | 3-1-0-4 | AG206 |
| 3 | AG307 | Laboratory Practices in Biotechnology | 0-0-6-3 | AG207 |
| 4 | AG401 | AI in Agriculture | 3-1-0-4 | AG304 |
| 4 | AG402 | Agroforestry Systems | 3-1-0-4 | AG303 |
| 4 | AG403 | Postharvest Technology | 3-1-0-4 | AG201 |
| 4 | AG404 | Urban Agriculture and Green Infrastructure | 3-1-0-4 | AG303 |
| 4 | AG405 | Food Security and Policy | 3-1-0-4 | AG204 |
| 4 | AG406 | Research Methodology in Agriculture | 3-1-0-4 | - |
| 4 | AG407 | Laboratory Practices in Advanced Research | 0-0-6-3 | AG307 |
| 5 | AG501 | Specialization Elective I | 3-1-0-4 | - |
| 5 | AG502 | Specialization Elective II | 3-1-0-4 | - |
| 5 | AG503 | Specialization Elective III | 3-1-0-4 | - |
| 5 | AG504 | Field Research Project | 0-0-12-6 | - |
| 6 | AG601 | Advanced Agroecology | 3-1-0-4 | AG303 |
| 6 | AG602 | Machine Learning Applications in Farming | 3-1-0-4 | AG304 |
| 6 | AG603 | Climate Change Mitigation Strategies | 3-1-0-4 | AG306 |
| 6 | AG604 | Remote Sensing and GIS in Agriculture | 3-1-0-4 | AG304 |
| 6 | AG605 | Advanced Soil Science | 3-1-0-4 | AG302 |
| 6 | AG606 | Capstone Project | 0-0-12-9 | - |
| 7 | AG701 | Industry Internship | 0-0-0-15 | - |
| 8 | AG801 | Thesis/Research Paper | 0-0-0-20 | - |
Advanced Departmental Electives
Plant Biotechnology: This course introduces students to recombinant DNA techniques, gene expression systems, plant transformation methods, and genetic engineering in crops. It focuses on developing transgenic plants with enhanced traits such as disease resistance, improved nutritional value, and tolerance to abiotic stresses.
Soil Chemistry and Fertility: Students explore the chemical composition of soils, nutrient cycling processes, soil acidity and alkalinity, fertilizer application strategies, and soil health assessment techniques. The course emphasizes sustainable soil management practices and their impact on agricultural productivity.
Data Analytics in Agriculture: This course equips students with statistical and computational tools for analyzing agricultural data. Topics include time series forecasting, regression analysis, clustering algorithms, and data visualization methods used in crop monitoring, yield prediction, and resource allocation.
Sustainable Water Management: This course covers water conservation techniques, irrigation efficiency, watershed management, groundwater recharge, and climate resilience in agriculture. Students learn to design and implement sustainable water-use strategies that enhance productivity while minimizing environmental impact.
Agroecology and Biodiversity: The focus is on understanding the interactions between agricultural systems and natural ecosystems. Students study biodiversity conservation, ecosystem services, habitat restoration, and sustainable farming practices that support ecological balance and long-term productivity.
Climate-Smart Agriculture: This course examines climate change impacts on agriculture and develops adaptive strategies for resilient farming systems. Students learn about carbon sequestration, greenhouse gas emissions, mitigation techniques, and integrating climate adaptation into agricultural planning and decision-making.
AI in Agriculture: This advanced elective explores machine learning algorithms, neural networks, computer vision, and robotics applied to agriculture. Students build predictive models for crop yield estimation, pest detection, automated irrigation systems, and precision farming technologies.
Urban Agriculture and Green Infrastructure: The course addresses sustainable urban farming, vertical gardens, rooftop agriculture, green roof design, and environmental remediation through agricultural practices. Students study hydroponics, aquaponics, smart city planning, and landscape architecture in urban settings.
Postharvest Technology: This elective focuses on preserving agricultural products after harvest to reduce losses and maintain quality. Topics include food safety standards, packaging techniques, storage conditions, processing methods, and supply chain optimization for perishable goods.
Remote Sensing and GIS in Agriculture: Students gain proficiency in using satellite imagery, drone technology, and geographic information systems (GIS) to monitor crop health, detect anomalies, estimate yields, and manage agricultural resources efficiently. The course integrates remote sensing data with field measurements for informed decision-making.
Project-Based Learning Philosophy
The department emphasizes project-based learning as a core component of the curriculum. From the first year onwards, students engage in mini-projects that build foundational skills and promote collaborative problem-solving. These projects are designed to mirror real-world challenges faced by farmers, researchers, and policymakers.
Mini-projects typically span 4–6 weeks and require students to work in teams under faculty supervision. Each project has specific learning objectives aligned with course content and industry relevance. Students must submit progress reports, present findings, and receive feedback throughout the process.
The final-year capstone project is a significant undertaking that allows students to explore a topic of personal interest within their chosen specialization track. The project involves extensive literature review, experimental design, data collection, analysis, and presentation of results. Faculty mentors guide students through each stage, ensuring high-quality outcomes and professional development.
Project selection is based on student interests, faculty availability, and alignment with current research trends in agriculture. Students are encouraged to propose innovative ideas or address practical issues identified during internships or field visits. The final project portfolio includes a detailed report, presentation slides, and a video summary for external review.