Course Structure Overview
The curriculum for the B.Tech Agriculture program at Integral University Lucknow is designed to provide students with a strong foundation in both theoretical and practical aspects of modern agriculture, integrating scientific principles with technological innovations. The program spans eight semesters, each building upon the previous one to ensure progressive learning and skill development.
| Semester | Course Code | Course Title | Credit Structure (L-T-P-C) | Pre-requisites |
|---|---|---|---|---|
| 1 | AGRO101 | Introduction to Agriculture | 3-0-0-3 | - |
| 1 | BIO101 | Basic Biology | 3-0-0-3 | - |
| 1 | CHM101 | Chemistry for Agriculture | 3-0-0-3 | - |
| 1 | MAT101 | Mathematics I | 3-0-0-3 | - |
| 1 | PHY101 | Physics for Agriculture | 3-0-0-3 | - |
| 1 | ENG101 | English for Engineering | 2-0-0-2 | - |
| 1 | LAB101 | Basic Biology Lab | 0-0-3-1 | BIO101 |
| 1 | LAB102 | Chemistry Lab | 0-0-3-1 | CHM101 |
| 2 | AGRO201 | Crop Production and Management | 3-0-0-3 | AGRO101 |
| 2 | BIO201 | Plant Physiology | 3-0-0-3 | BIO101 |
| 2 | MAT201 | Mathematics II | 3-0-0-3 | MAT101 |
| 2 | STAT201 | Statistics for Agriculture | 3-0-0-3 | - |
| 2 | SOIL201 | Soil Science and Management | 3-0-0-3 | - |
| 2 | LAB201 | Plant Physiology Lab | 0-0-3-1 | BIO201 |
| 3 | AGRO301 | Plant Pathology and Entomology | 3-0-0-3 | BIO201 |
| 3 | IRRIG301 | Water Management Systems | 3-0-0-3 | SOIL201 |
| 3 | BIO301 | Biotechnology in Agriculture | 3-0-0-3 | BIO201 |
| 3 | MAT301 | Mathematics III | 3-0-0-3 | MAT201 |
| 3 | AGRO302 | Agricultural Economics | 3-0-0-3 | - |
| 3 | LAB301 | Soil Science Lab | 0-0-3-1 | SOIL201 |
| 4 | AGRO401 | Precision Farming Technologies | 3-0-0-3 | IRRIG301 |
| 4 | BIOTECH401 | Molecular Diagnostics in Agriculture | 3-0-0-3 | BIO301 |
| 4 | ENV401 | Environmental Impact Assessment | 3-0-0-3 | - |
| 4 | AGRO402 | Agro-Industrial Economics | 3-0-0-3 | AGRO302 |
| 4 | MAT401 | Advanced Mathematics | 3-0-0-3 | MAT301 |
| 4 | LAB401 | Bioinformatics Lab | 0-0-3-1 | BIO301 |
| 5 | AGRO501 | Climate Change Adaptation in Agriculture | 3-0-0-3 | ENV401 |
| 5 | AGRO502 | Sustainable Crop Management | 3-0-0-3 | AGRO201 |
| 5 | AGRO503 | Food Processing and Quality Control | 3-0-0-3 | - |
| 5 | AGRO504 | Rural Development and Extension | 3-0-0-3 | - |
| 5 | DEPT501 | Advanced Biotechnology in Agriculture | 3-0-0-3 | BIOTECH401 |
| 5 | LAB501 | Advanced Soil Analysis Lab | 0-0-3-1 | SOIL201 |
| 6 | AGRO601 | Data Analytics in Agriculture | 3-0-0-3 | STAT201 |
| 6 | AGRO602 | Agricultural Policy Analysis | 3-0-0-3 | AGRO302 |
| 6 | AGRO603 | Agri-Technology Innovation | 3-0-0-3 | AGRO401 |
| 6 | DEPT601 | Machine Learning for Agriculture | 3-0-0-3 | MAT401 |
| 6 | DEPT602 | Environmental Monitoring Systems | 3-0-0-3 | ENV401 |
| 6 | LAB601 | Agricultural Data Analysis Lab | 0-0-3-1 | AGRO601 |
| 7 | AGRO701 | Final Year Project I | 0-0-6-6 | - |
| 7 | DEPT701 | Research Methodology | 3-0-0-3 | - |
| 7 | DEPT702 | Advanced Crop Science | 3-0-0-3 | AGRO502 |
| 7 | DEPT703 | Entrepreneurship in Agriculture | 3-0-0-3 | - |
| 8 | AGRO801 | Final Year Project II | 0-0-6-6 | AGRO701 |
| 8 | DEPT801 | Agri-Tech Innovation Lab | 0-0-6-6 | - |
| 8 | DEPT802 | Internship in Agriculture | 0-0-6-6 | - |
Advanced Departmental Elective Courses
The department offers a range of advanced elective courses that allow students to explore specialized areas of interest within agriculture. These courses are designed to deepen understanding and provide practical exposure to current trends and technologies:
- Machine Learning for Agriculture: This course introduces students to the application of machine learning algorithms in solving real-world agricultural problems such as yield prediction, disease detection, and resource optimization.
- Agricultural Data Analytics: Students learn to use statistical tools and software packages like R, Python, and SQL to analyze large datasets related to crop production, weather patterns, and market trends.
- Biotechnology in Agriculture: This course covers genetic engineering techniques, molecular diagnostics, bioinformatics, and the role of biotech firms in modern agriculture.
- Climate Change Adaptation in Agriculture: Focused on understanding climate impacts on agriculture, students explore mitigation strategies and adaptation techniques for sustainable farming practices.
- Precision Farming Technologies: Students gain hands-on experience with GPS-guided tractors, drones, sensors, and satellite imagery used in precision agriculture.
- Agri-Tech Innovation Lab: A practical course where students work on innovative projects using modern tools and technologies to develop solutions for agricultural challenges.
- Food Processing and Quality Control: Covers food preservation techniques, nutritional analysis, packaging materials, and regulatory standards in the food industry.
- Sustainable Crop Management: Emphasizes eco-friendly farming practices, integrated pest management, and climate-resilient crop varieties.
- Agricultural Policy Analysis: Analyzes government policies affecting agriculture, including subsidies, land reforms, and market regulation strategies.
- Environmental Impact Assessment: Teaches students how to assess the environmental consequences of agricultural practices and propose mitigation measures.
Project-Based Learning Philosophy
The department strongly believes in project-based learning as a core component of the curriculum. This approach emphasizes hands-on experience, problem-solving skills, and real-world applications of academic concepts. Students are required to complete two major projects throughout their program:
- Mini Projects (Semesters 3-6): These are smaller-scale projects that allow students to apply theoretical knowledge in practical settings. Mini projects can be conducted individually or in small groups and must involve data collection, analysis, and presentation.
- Final Year Thesis/Capstone Project (Semesters 7-8): The final year project is a significant undertaking that requires students to conduct independent research under the guidance of a faculty mentor. It involves formulating a problem statement, designing a methodology, collecting and analyzing data, and presenting findings in a formal report and oral presentation.
Students select their projects based on their interests and career aspirations. They are encouraged to collaborate with industry partners or government agencies for real-world relevance. Faculty mentors are assigned based on expertise and project alignment, ensuring that students receive proper guidance throughout the process.