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Pune, Maharashtra, India

Duration

4 Years

Agriculture

Rayat Bahra University, Mohali
Duration
4 Years
Agriculture UG OFFLINE

Duration

4 Years

Agriculture

Rayat Bahra University, Mohali
Duration
Apply

Fees

₹3,50,000

Placement

92.0%

Avg Package

₹4,50,000

Highest Package

₹8,00,000

OverviewAdmissionsCurriculumFeesPlacements
4 Years
Agriculture
UG
OFFLINE

Fees

₹3,50,000

Placement

92.0%

Avg Package

₹4,50,000

Highest Package

₹8,00,000

Seats

120

Students

1,200

ApplyCollege

Seats

120

Students

1,200

Curriculum

Course Structure and Academic Plan

The B.Tech Agriculture program at Rayat Bahra University Mohali is designed to provide students with a comprehensive understanding of agricultural science and technology. The program spans eight semesters, with a structured curriculum that progresses from foundational sciences to advanced specializations.

SemesterCourse CodeCourse TitleCredit Structure (L-T-P-C)Prerequisites
1AG101Introduction to Agriculture3-0-0-3None
1AG102Basic Biology3-0-0-3None
1AG103Chemistry for Agriculture3-0-0-3None
1AG104Physics for Agriculture3-0-0-3None
1AG105Mathematics for Agriculture3-0-0-3None
1AG106Introduction to Soil Science3-0-0-3None
2AG201Plant Physiology3-0-0-3AG102
2AG202Crop Science3-0-0-3AG102
2AG203Soil Chemistry and Physics3-0-0-3AG103
2AG204Agricultural Economics3-0-0-3AG105
2AG205Introduction to Agri-Tech3-0-0-3AG104
3AG301Advanced Crop Management3-0-0-3AG202
3AG302Agri-Data Analytics3-0-0-3AG204
3AG303Plant Pathology3-0-0-3AG201
3AG304Sustainable Farming Practices3-0-0-3AG201
3AG305Climate Change and Agriculture3-0-0-3AG204
4AG401Food Processing Technology3-0-0-3AG301
4AG402Agri-Entrepreneurship3-0-0-3AG302
4AG403Environmental Management3-0-0-3AG301
4AG404Research Methodology3-0-0-3AG302
4AG405Agri-Internship0-0-6-3AG301
5AG501Advanced Agri-Tech3-0-0-3AG402
5AG502Agri-Data Analytics3-0-0-3AG402
5AG503Agri-Startups and Innovation3-0-0-3AG402
5AG504Agri-Research Project0-0-6-6AG404
6AG601Agri-Internship0-0-6-3AG504
6AG602Capstone Project0-0-6-6AG504
6AG603Agri-Case Studies3-0-0-3AG504
6AG604Agri-Policy and Ethics3-0-0-3AG504
7AG701Agri-Global Trends3-0-0-3AG603
7AG702Agri-Technology Innovation3-0-0-3AG603
7AG703Agri-Data Science3-0-0-3AG603
7AG704Agri-Global Case Studies3-0-0-3AG603
8AG801Agri-Research Thesis0-0-6-6AG704
8AG802Agri-Internship0-0-6-3AG801
8AG803Agri-Graduation Project0-0-6-6AG801
8AG804Agri-Final Presentation0-0-3-3AG801

Advanced Departmental Electives

Advanced departmental electives provide students with specialized knowledge in emerging areas of agriculture. These courses are designed to deepen students' understanding and prepare them for research and innovation.

Advanced Agri-Tech: This course explores the integration of technology in agriculture, including drones, sensors, and IoT for smart farming. Students will learn how to use these technologies to optimize crop yield, reduce resource usage, and improve decision-making.

Agri-Data Analytics: This course focuses on the use of data analytics in agriculture, including machine learning, predictive modeling, and big data applications. Students will gain hands-on experience in analyzing agricultural data to improve farming practices.

Agri-Startups and Innovation: This course provides students with the tools and knowledge to start and grow agricultural businesses. Topics include business planning, innovation management, and venture capital.

Agri-Research Project: This course involves students working on a research project under the supervision of a faculty member. Students will develop research skills, learn to conduct literature reviews, and present their findings.

Agri-Internship: This course provides students with real-world experience in the agricultural sector. Students will work with industry partners to gain insights into the practical applications of their studies.

Agri-Case Studies: This course involves analyzing real-world agricultural challenges and solutions. Students will learn to apply their knowledge to practical problems and develop critical thinking skills.

Agri-Policy and Ethics: This course explores the ethical and policy considerations in agriculture. Students will learn about global food security, sustainability, and the role of policy in shaping agricultural practices.

Agri-Global Trends: This course examines global trends in agriculture, including climate change, technology, and sustainability. Students will learn about international agricultural practices and their implications.

Agri-Technology Innovation: This course focuses on the innovation and development of new agricultural technologies. Students will explore emerging technologies and their potential applications in agriculture.

Agri-Data Science: This course provides students with advanced knowledge in data science and its applications in agriculture. Students will learn to use statistical tools and machine learning algorithms to analyze agricultural data.

Agri-Global Case Studies: This course involves in-depth analysis of global agricultural case studies. Students will learn to apply their knowledge to real-world scenarios and develop solutions to complex problems.

Project-Based Learning Philosophy

The department's philosophy on project-based learning is rooted in the belief that hands-on experience is essential for deep understanding and skill development. Students engage in both mini-projects and a final-year thesis, allowing them to apply theoretical knowledge to real-world challenges.

Mini-Projects: These are smaller-scale projects undertaken during the second and third years. Students work in teams to solve specific problems, such as optimizing crop yield or developing sustainable farming practices. Projects are evaluated based on creativity, technical execution, and presentation.

Final-Year Thesis/Capstone Project: In the final year, students undertake a comprehensive project that integrates all aspects of their learning. This project is typically conducted in collaboration with industry partners or research institutions. Students are paired with faculty mentors who guide them through the research process, from problem identification to final presentation.

The selection of projects is based on student interests and industry demands. Students are encouraged to propose their own ideas or choose from a list of suggested projects. Faculty mentors are selected based on their expertise and availability, ensuring that students receive high-quality guidance throughout their project journey.