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    +91 88943 57155
    Pune, Maharashtra, India

    Duration

    4 Years

    Agriculture

    P P Savani University Surat
    Duration
    4 Years
    Agriculture UG OFFLINE

    Duration

    4 Years

    Agriculture

    P P Savani University Surat
    Duration
    Apply

    Fees

    ₹1,50,000

    Placement

    92.0%

    Avg Package

    ₹6,20,000

    Highest Package

    ₹9,50,000

    OverviewAdmissionsCurriculumFeesPlacements
    4 Years
    Agriculture
    UG
    OFFLINE

    Fees

    ₹1,50,000

    Placement

    92.0%

    Avg Package

    ₹6,20,000

    Highest Package

    ₹9,50,000

    Seats

    180

    Students

    200

    ApplyCollege

    Seats

    180

    Students

    200

    Curriculum

    Comprehensive Course List Across All Semesters

    Semester Course Code Full Course Title Credit Structure (L-T-P-C) Pre-requisites
    1 AG101 Introduction to Agriculture 3-0-0-3 -
    1 AG102 Basic Biology for Agriculture 3-0-0-3 -
    1 AG103 Chemistry for Agricultural Sciences 3-0-0-3 -
    1 AG104 Mathematics for Agriculture 3-0-0-3 -
    1 AG105 Physics for Agricultural Sciences 3-0-0-3 -
    1 AG106 Basic Soil Science 3-0-0-3 -
    2 AG201 Crop Science Fundamentals 3-0-0-3 AG101, AG102
    2 AG202 Plant Pathology 3-0-0-3 AG102
    2 AG203 Entomology 3-0-0-3 AG102
    2 AG204 Agricultural Economics 3-0-0-3 AG104
    2 AG205 Introduction to Agricultural Engineering 3-0-0-3 -
    3 AG301 Advanced Crop Production Techniques 3-0-0-3 AG201
    3 AG302 Agronomy and Soil Fertility Management 3-0-0-3 AG106
    3 AG303 Plant Biotechnology 3-0-0-3 AG102, AG202
    3 AG304 Data Analytics in Agriculture 3-0-0-3 AG104
    3 AG305 Precision Farming Technologies 3-0-0-3 AG205
    4 AG401 Sustainable Irrigation Systems 3-0-0-3 AG205
    4 AG402 Climate-Smart Agriculture 3-0-0-3 AG301
    4 AG403 Food Processing Technology 3-0-0-3 -
    4 AG404 Rural Development Studies 3-0-0-3 -
    5 AG501 Crop Modeling and Forecasting 3-0-0-3 AG304
    5 AG502 Agricultural Information Technology 3-0-0-3 AG304
    5 AG503 Agro-Ecology and Conservation 3-0-0-3 AG201
    5 AG504 Plant Pathology & Bioinformatics 3-0-0-3 AG202, AG303
    6 AG601 Advanced Agri-Entrepreneurship 3-0-0-3 -
    6 AG602 Agro-Information Systems 3-0-0-3 AG502
    6 AG603 Research Methodology in Agriculture 3-0-0-3 -
    7 AG701 Special Topics in Agricultural Science 3-0-0-3 -
    7 AG702 Internship Program 0-0-6-3 -
    8 AG801 Final Year Capstone Project 0-0-6-6 -

    Detailed Course Descriptions for Advanced Departmental Electives

    Advanced Crop Production Techniques: This course explores modern techniques in crop production, including hydroponics, aquaponics, vertical farming, and controlled environment agriculture. Students learn about genetic modification, climate control systems, nutrient delivery methods, and yield optimization strategies. The course combines theoretical knowledge with practical lab sessions where students design and implement small-scale production units.

    Agronomy and Soil Fertility Management: This course focuses on soil properties, fertility management, crop rotation strategies, and sustainable land use practices. Students study nutrient cycles, organic matter dynamics, soil testing methods, and the impact of agricultural practices on soil health. Field trips to local farms and laboratories provide hands-on experience in soil analysis and fertility planning.

    Plant Biotechnology: Designed for students interested in molecular biology and genetic engineering, this course covers gene editing techniques, plant transformation protocols, recombinant DNA technology, and regulatory frameworks in biotech research. Students conduct experiments in our state-of-the-art lab to clone genes, express proteins, and analyze transgenic plants.

    Data Analytics in Agriculture: This course introduces students to statistical modeling, machine learning algorithms, and data visualization tools used in agricultural decision-making. Topics include crop yield prediction, weather forecasting models, remote sensing applications, and big data analysis for precision farming. Students work on real datasets from government agencies and industry partners.

    Precision Farming Technologies: This course explores the integration of GPS, GIS, drones, sensors, and IoT devices in agriculture. Students learn to operate precision farming equipment, interpret satellite imagery, and design automated irrigation systems. The curriculum includes hands-on workshops with manufacturers like John Deere and Trimble.

    Sustainable Irrigation Systems: This course delves into water conservation strategies, drip irrigation technologies, sprinkler systems, and smart irrigation scheduling. Students study water-use efficiency, evapotranspiration models, and climate-resilient farming practices. Practical sessions involve designing irrigation layouts and testing water-saving methods in controlled environments.

    Climate-Smart Agriculture: Addressing the challenges of climate change, this course covers adaptation strategies, mitigation techniques, carbon sequestration, and resilience planning. Students analyze climate data, develop risk management plans, and propose sustainable solutions for changing environmental conditions. Guest lectures from climate scientists and policy experts enrich the learning experience.

    Food Processing Technology: This course examines food preservation, packaging, quality control, and value addition in the agri-food supply chain. Students study thermal processing, freezing techniques, drying methods, and food safety regulations. Practical sessions include lab experiments on product development and pilot-scale processing units.

    Rural Development Studies: This course integrates social sciences with agricultural practices to understand rural communities and development strategies. Topics include poverty analysis, community engagement, government schemes, and participatory planning. Students conduct field research in local villages and collaborate with NGOs and government agencies.

    Crop Modeling and Forecasting: Using mathematical models and statistical tools, students predict crop yields, analyze weather patterns, and optimize planting schedules. The course includes training on software like MATLAB, R, and Python for data modeling. Students work on real-world datasets to develop forecasting tools for agricultural stakeholders.

    Agricultural Information Technology: This course explores digital agriculture, including mobile apps, online platforms, GIS mapping, and big data analytics. Students learn to develop agricultural information systems, create user interfaces, and analyze digital trends in farming practices. Projects include building farmer portals, SMS-based advisory services, and drone data analysis tools.

    Agro-Ecology and Conservation: This course focuses on ecological principles underlying agricultural systems, promoting biodiversity, ecosystem health, and environmental stewardship. Students study wildlife habitats, conservation strategies, watershed management, and organic farming practices. Fieldwork in protected areas and nature reserves provides practical exposure to ecological restoration.

    Plant Pathology & Bioinformatics: Combining traditional plant pathology with modern bioinformatics tools, this course teaches students to identify pathogens using molecular techniques, analyze genomic data, and develop predictive models for disease outbreaks. Students work on sequencing projects, database management, and computational analysis of pathogen genomes.

    Agro-Entrepreneurship: This course prepares students for leadership roles in agri-business, innovation, and start-up ventures. Topics include business planning, venture capital, intellectual property rights, and marketing strategies for agricultural products. Students participate in pitch competitions and develop business plans for real-world challenges in agriculture.

    Agro-Information Systems: Focused on information technology applications in agriculture, this course covers database design, data warehousing, web development, and cloud computing for farming operations. Students learn to integrate hardware and software solutions to streamline agricultural processes and improve decision-making efficiency.

    Project-Based Learning Philosophy

    At P P Savani University Surat, project-based learning is central to our teaching philosophy. We believe that students learn best when they engage in hands-on, real-world problem-solving activities that mirror industry challenges and societal needs.

    The program incorporates two major projects: a mandatory mini-project in the third year and a final-year capstone project. The mini-project allows students to explore specific topics under faculty supervision, while the capstone project provides an opportunity for independent research or innovation.

    Mini-projects are typically conducted over one semester and must involve collaboration with industry partners or local communities. Students select projects based on their interests, available resources, and faculty expertise. Projects often address issues like improving crop yields, developing sustainable irrigation systems, or creating mobile applications for farmers.

    The capstone project spans the entire final year and requires students to propose a significant research initiative or product development plan. Faculty mentors guide students through every stage—from problem identification to solution implementation—ensuring that projects are academically rigorous and practically relevant.

    Evaluation criteria for both projects include creativity, technical depth, documentation quality, presentation skills, and contribution to the field of agriculture. Students present their findings at university symposiums and industry forums, gaining valuable exposure to potential employers and collaborators.