Curriculum Overview

The B.Tech Agriculture program at D A V University Jalandhar is structured to provide a robust foundation in agricultural sciences while integrating modern technologies and innovative approaches. The curriculum spans four years with 8 semesters, each designed to build upon previous knowledge and prepare students for specialized careers in agriculture.

Year-Wise Course Structure

The program begins with foundational courses in the first year, followed by advanced topics in subsequent semesters. Each semester includes core subjects, departmental electives, science electives, and practical lab sessions to ensure comprehensive learning experiences.

Agriculture Program Curriculum - 8 Semesters

Year/Semester	Course Code	Course Title	Credit Structure (L-T-P-C)	Prerequisites
Semester I	AG-101	Introduction to Agriculture	3-0-0-3	-
	AG-102	Biology for Agriculture	3-0-0-3	-
	AG-103	Chemistry for Agriculture	3-0-0-3	-
	AG-104	Physics for Agriculture	3-0-0-3	-
	AG-105	Mathematics I	3-0-0-3	-
	AG-106	Environmental Science	3-0-0-3	-
	AG-107	Introduction to Computer Applications	2-0-2-2	-
	AG-108	Workshop in Agriculture	0-0-4-2	-
	AG-109	English for Communication Skills	2-0-0-2	-
	AG-110	Physical Education	0-0-2-1	-
	AG-111	Introduction to Agricultural Economics	3-0-0-3	-
	AG-112	Basic Agriculture Practices	2-0-2-2	-
Semester II	AG-201	Plant Physiology	3-0-0-3	AG-102
	AG-202	Soil Science	3-0-0-3	AG-103
	AG-203	Agronomy	3-0-0-3	AG-101
	AG-204	Entomology	3-0-0-3	-
	AG-205	Plant Pathology	3-0-0-3	-
	AG-206	Genetics	3-0-0-3	AG-102
	AG-207	Mathematics II	3-0-0-3	AG-105
	AG-208	Fluid Mechanics	3-0-0-3	-
	AG-209	Data Structures and Algorithms	2-0-2-2	AG-107
	AG-210	Environmental Impact Assessment	3-0-0-3	-
	AG-211	Agricultural Extension	3-0-0-3	-
	AG-212	Workshop in Soil and Crop Science	0-0-4-2	-
Semester III	AG-301	Agricultural Engineering	3-0-0-3	AG-208
	AG-302	Crop Production Technology	3-0-0-3	AG-203
	AG-303	Irrigation and Drainage Systems	3-0-0-3	AG-208
	AG-304	Agricultural Economics	3-0-0-3	AG-111
	AG-305	Agro-Ecosystem Management	3-0-0-3	-
	AG-306	Research Methodology in Agriculture	2-0-2-2	-
	AG-307	Computer Applications in Agriculture	2-0-2-2	AG-107
	AG-308	Statistics for Agricultural Research	3-0-0-3	AG-207
	AG-309	Agro-Business Management	3-0-0-3	-
	AG-310	Climate Change and Agriculture	3-0-0-3	-
	AG-311	Agricultural Policy Analysis	3-0-0-3	-
	AG-312	Field Practical in Crop Management	0-0-4-2	-
Semester IV	AG-401	Post-Harvest Technology	3-0-0-3	AG-302
	AG-402	Food Processing and Quality Control	3-0-0-3	-
	AG-403	Advanced Soil Science	3-0-0-3	AG-202
	AG-404	Pest Management and Integrated Pest Control	3-0-0-3	-
	AG-405	Plant Breeding and Genetics	3-0-0-3	AG-206
	AG-406	Environmental Monitoring and Impact Assessment	3-0-0-3	-
	AG-407	Data Analytics in Agriculture	2-0-2-2	AG-209
	AG-408	Agricultural Economics and Policy	3-0-0-3	AG-304
	AG-409	Entrepreneurship in Agri-Business	2-0-2-2	-
	AG-410	Advanced Farming Techniques	3-0-0-3	-
	AG-411	Agricultural Extension and Communication	3-0-0-3	-
	AG-412	Mini Project in Agriculture	0-0-6-3	-
Semester V	AG-501	Smart Farming Technologies	3-0-0-3	AG-407
	AG-502	Precision Agriculture	3-0-0-3	-
	AG-503	Drones in Agriculture	3-0-0-3	-
	AG-504	GIS and Remote Sensing Applications	3-0-0-3	-
	AG-505	Agricultural Biotechnology	3-0-0-3	-
	AG-506	Crop Improvement Techniques	3-0-0-3	AG-405
	AG-507	Agricultural Data Analytics	2-0-2-2	AG-407
	AG-508	Sustainable Farming Systems	3-0-0-3	-
	AG-509	Climate Change Adaptation in Agriculture	3-0-0-3	-
	AG-510	Agro-Economic Evaluation	3-0-0-3	-
	AG-511	Water Conservation in Agriculture	3-0-0-3	-
	AG-512	Advanced Field Research Techniques	0-0-6-3	-
Semester VI	AG-601	Agricultural Risk Management	3-0-0-3	-
	AG-602	Supply Chain in Agriculture	3-0-0-3	-
	AG-603	Agro-Business Strategy	3-0-0-3	-
	AG-604	Food Security and Nutrition	3-0-0-3	-
	AG-605	Carbon Credit Systems in Agriculture	3-0-0-3	-
	AG-606	Rural Development Policies	3-0-0-3	-
	AG-607	Agricultural Marketing	3-0-0-3	-
	AG-608	Agro-Environmental Impact Assessment	3-0-0-3	-
	AG-609	Economic Analysis of Agri-Business	3-0-0-3	-
	AG-610	Agri-Tech Innovation Lab	0-0-6-3	-
	AG-611	Advanced Statistical Methods	3-0-0-3	AG-308
	AG-612	Capstone Project in Agriculture	0-0-12-6	-
Semester VII	AG-701	Research Proposal Writing	2-0-2-2	-
	AG-702	Independent Research in Agriculture	0-0-12-6	-
	AG-703	Research Ethics and Integrity	2-0-2-2	-
	AG-704	Advanced Topics in Crop Science	3-0-0-3	-
	AG-705	Agri-Tech Innovation and Entrepreneurship	2-0-2-2	-
	AG-706	Thesis Writing and Presentation Skills	2-0-2-2	-
	AG-707	Industry Internship Preparation	2-0-2-2	-
	AG-708	Capstone Project Supervision	0-0-6-3	-
	AG-709	Agri-Business Consulting	2-0-2-2	-
	AG-710	Global Trends in Agriculture	3-0-0-3	-
	AG-711	Policy and Regulatory Frameworks	3-0-0-3	-
	AG-712	Final Thesis Presentation	0-0-4-2	-
Semester VIII	AG-801	Final Year Project	0-0-12-6	-
	AG-802	Capstone Thesis Completion	0-0-12-6	-
	AG-803	Internship in Agri-Business	0-0-12-6	-
	AG-804	Final Thesis Defense	0-0-4-2	-
	AG-805	Career Planning and Placement Preparation	2-0-2-2	-
	AG-806	Professional Development Workshop	2-0-2-2	-
	AG-807	Agri-Tech Industry Trends	3-0-0-3	-
	AG-808	Final Interview Preparation	2-0-2-2	-
	AG-809	Graduation Ceremony and Alumni Networking	0-0-4-2	-
	AG-810	Industry Collaboration Projects	0-0-6-3	-
	AG-811	Post-Graduation Pathways	2-0-2-2	-
	AG-812	Research and Innovation Showcase	0-0-4-2	-

Advanced Departmental Electives:

• Smart Farming Technologies: This course introduces students to modern agricultural techniques such as IoT sensors, automated irrigation systems, precision farming tools, and drone-based monitoring systems. Students learn how to integrate these technologies into traditional farming practices to improve efficiency and sustainability.
• Precision Agriculture: Precision agriculture involves using GPS mapping, satellite imagery, and data analytics to optimize crop yields and reduce resource waste. This course teaches students to collect, analyze, and apply agronomic data for better decision-making in farming.
• Drones in Agriculture: Drones are revolutionizing the way farmers monitor their fields, assess plant health, and detect pest infestations. This elective explores drone technology applications including aerial imaging, crop spraying, and real-time field analysis.
• GIS and Remote Sensing Applications: Geographic Information Systems (GIS) and remote sensing play a crucial role in agricultural planning, land use mapping, and monitoring environmental changes. Students learn to use these technologies for crop modeling, water resource management, and climate adaptation strategies.
• Agricultural Biotechnology: This course delves into genetic engineering, bioinformatics, plant tissue culture, and recombinant DNA technology in agriculture. It provides a deep understanding of how biotech innovations can enhance crop productivity and resistance to diseases.
• Crop Improvement Techniques: Students learn about hybridization, selection methods, marker-assisted breeding, and transgenic approaches for developing improved crop varieties with better yield, disease resistance, and nutritional value.
• Agricultural Data Analytics: With the rise of big data in agriculture, this course focuses on statistical modeling, machine learning algorithms, predictive analytics, and data visualization techniques to analyze farming trends and optimize production.
• Sustainable Farming Systems: This elective explores organic farming practices, conservation tillage, integrated pest management, and agroforestry systems. It emphasizes sustainable land use, biodiversity conservation, and ecosystem services in agriculture.
• Climate Change Adaptation in Agriculture: Climate change poses significant challenges to agriculture through extreme weather events, shifting precipitation patterns, and rising temperatures. This course equips students with strategies for adapting farming practices to changing climatic conditions.
• Agro-Economic Evaluation: Economic analysis of agricultural systems is essential for making informed decisions about resource allocation and investment. This course teaches cost-benefit analysis, risk assessment, market dynamics, and policy evaluation in agriculture.

Project-Based Learning Philosophy:

The department places great emphasis on project-based learning to foster critical thinking, innovation, and practical skills among students. The program integrates hands-on projects throughout the curriculum to provide real-world exposure and application of theoretical knowledge.

The mandatory mini-projects in the third year introduce students to research methodologies, data collection techniques, and problem-solving approaches in agriculture. These projects are supervised by faculty members who guide students through the process of defining research questions, designing experiments, analyzing results, and presenting findings.

The final-year thesis or capstone project is a comprehensive undertaking that allows students to explore a specific area of interest in depth. Students choose their topics based on personal interests, faculty expertise, and industry relevance. They work closely with assigned mentors throughout the process, receiving feedback at various stages to refine their research and ensure academic rigor.

Evaluation criteria for these projects include originality of approach, quality of research methodology, clarity of presentation, impact of findings, and contribution to the field. Students are encouraged to publish their work in peer-reviewed journals or present at national/international conferences, enhancing their visibility and credibility in the academic community.