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    +91 88943 57155
    Pune, Maharashtra, India

    Duration

    4 Years

    Post Harvest Tech

    College Of Technology Pantnagar
    Duration
    4 Years
    Post Harvest Tech UG OFFLINE

    Duration

    4 Years

    Post Harvest Tech

    College Of Technology Pantnagar
    Duration
    Apply

    Fees

    ₹8,50,000

    Placement

    92.5%

    Avg Package

    ₹6,50,000

    Highest Package

    ₹15,00,000

    OverviewAdmissionsCurriculumFeesPlacements
    4 Years
    Post Harvest Tech
    UG
    OFFLINE

    Fees

    ₹8,50,000

    Placement

    92.5%

    Avg Package

    ₹6,50,000

    Highest Package

    ₹15,00,000

    Seats

    30

    Students

    120

    ApplyCollege

    Seats

    30

    Students

    120

    Curriculum

    Curriculum Overview

    The Post Harvest Tech program follows a structured, progressive curriculum designed to provide students with comprehensive knowledge and practical skills across multiple domains of post-harvest technology. The program spans eight semesters, with each semester comprising core courses, departmental electives, science electives, and laboratory sessions.

    Semester-wise Course Structure

    SEMESTERCOURSE CODECOURSE TITLECREDIT STRUCTURE (L-T-P-C)PREREQUISITES
    1ENG101Engineering Mathematics I3-1-0-4-
    1PHY101Physics for Engineers3-1-0-4-
    1CHE101Chemistry for Engineers3-1-0-4-
    1BIO101Introduction to Biology3-1-0-4-
    1AG101Introduction to Agricultural Science3-1-0-4-
    1EGD101Engineering Graphics and Design2-0-2-3-
    1CSE101Computer Programming2-0-2-3-
    1LAB101Basic Science Laboratory0-0-3-1-
    1LAT101Engineering Drawing Lab0-0-3-1-
    2ENG102Engineering Mathematics II3-1-0-4ENG101
    2MAT101Materials Science and Engineering3-1-0-4-
    2PHY102Thermodynamics and Heat Transfer3-1-0-4PHY101
    2CHE102Food Chemistry3-1-0-4CHE101
    2BIO102Plant Biology and Physiology3-1-0-4BIO101
    2AG102Agricultural Economics and Farming Systems3-1-0-4AG101
    2LAB201Chemistry Laboratory0-0-3-1CHE101
    2LAT201Computer Programming Lab0-0-3-1CSE101
    3ENG201Engineering Mathematics III3-1-0-4ENG102
    3MEC201Fluid Mechanics and Hydraulic Machines3-1-0-4MAT101
    3BIO201Food Biochemistry3-1-0-4BIO102
    3AG201Crop Science and Technology3-1-0-4AG102
    3ENV201Environmental Science and Engineering3-1-0-4-
    3AG301Food Preservation Techniques3-1-0-4CHE102
    3LAB301Biology Laboratory0-0-3-1BIO102
    3LAT301Materials Science Lab0-0-3-1MAT101
    4ENG202Engineering Mathematics IV3-1-0-4ENG201
    4MEC202Mechanics of Materials and Structures3-1-0-4MEC201
    4CHE201Food Microbiology3-1-0-4CHE102
    4AG202Agricultural Engineering Principles3-1-0-4AG201
    4ENV202Water Resources and Irrigation Engineering3-1-0-4ENV201
    4AG302Food Processing Technology3-1-0-4AG301
    4LAB401Microbiology Laboratory0-0-3-1CHE201
    4LAT401Thermodynamics Lab0-0-3-1PHY102
    5ENG301Advanced Engineering Mathematics3-1-0-4ENG202
    5MEC301Heat Transfer and Refrigeration3-1-0-4MEC202
    5BIO301Food Biotechnology3-1-0-4BIO201
    5AG303Storage Engineering and Systems3-1-0-4AG202
    5ENV301Sustainable Agriculture Practices3-1-0-4ENV202
    5AG401Quality Control and Assurance3-1-0-4AG302
    5LAB501Food Processing Lab0-0-3-1AG302
    5LAT501Refrigeration and Air Conditioning Lab0-0-3-1MEC301
    6ENG302Probability and Statistics for Engineers3-1-0-4ENG301
    6MEC302Mechanical Systems Design3-1-0-4MEC301
    6BIO302Nanotechnology in Food Processing3-1-0-4BIO301
    6AG304Agricultural Robotics and Automation3-1-0-4AG303
    6ENV302Climate Change and Agriculture3-1-0-4ENV301
    6AG402Data Analytics for Agriculture3-1-0-4ENG302
    6LAB601Biotechnology Lab0-0-3-1BIO302
    6LAT601Robotics and Automation Lab0-0-3-1AG304
    7ENG401Operations Research and Optimization3-1-0-4ENG302
    7MEC401Advanced Manufacturing Processes3-1-0-4MEC302
    7BIO401Food Safety and Regulatory Compliance3-1-0-4BIO302
    7AG403Renewable Energy Applications in Agriculture3-1-0-4AG304
    7ENV401Environmental Impact Assessment3-1-0-4ENV302
    7AG501Research Methodology and Project Planning3-1-0-4AG402
    7LAB701Advanced Food Processing Lab0-0-3-1AG403
    7LAT701Research and Development Lab0-0-3-1-
    8ENG402Capstone Project I3-0-0-3AG501
    8MEC402Final Year Project3-0-0-3ENG401
    8BIO402Advanced Topics in Food Science3-1-0-4BIO401
    8AG502Entrepreneurship and Innovation3-1-0-4AG403
    8ENV402Sustainability and Green Technologies3-1-0-4ENV401
    8AG601Industrial Training and Internship0-0-0-6-
    8LAT801Capstone Project Lab0-0-3-1ENG402

    Advanced Departmental Elective Courses

    The department offers a range of advanced elective courses that allow students to specialize in specific areas of post-harvest technology. These courses are designed to provide in-depth knowledge and practical skills relevant to current industry needs.

    Course 1: Advanced Food Preservation Techniques

    This course delves into the latest methods and technologies used for preserving food products, including modified atmosphere packaging, high-pressure processing, pulsed electric fields, and novel antimicrobial treatments. Students explore the scientific principles underlying these techniques, their applications in different food categories, and their impact on nutritional value and shelf-life.

    The learning objectives include understanding the molecular mechanisms of food deterioration, evaluating the effectiveness of various preservation methods, designing appropriate packaging systems, and assessing quality parameters during storage. Through laboratory sessions, students gain hands-on experience with advanced preservation equipment and conduct experiments to compare different techniques.

    Course 2: Agricultural Robotics and Automation

    This course explores the integration of robotics and automation technologies in agricultural operations, focusing on harvesting, sorting, packaging, and transportation. Students study sensor technologies, machine vision systems, control algorithms, and artificial intelligence applications specifically tailored for farming environments.

    The curriculum covers robot design principles, programming languages used in agriculture robotics, autonomous vehicle navigation, precision farming concepts, and data-driven decision-making systems. Practical sessions involve building and testing robotic prototypes, using simulation software, and working with real-world agricultural equipment.

    Course 3: Data Analytics for Agriculture

    This course focuses on applying data science techniques to solve challenges in agriculture, including crop yield prediction, disease detection, resource optimization, and supply chain management. Students learn about big data platforms, machine learning algorithms, statistical modeling, and visualization tools relevant to agricultural applications.

    Learning outcomes include developing predictive models for agricultural variables, implementing real-time monitoring systems, extracting insights from complex datasets, and creating actionable recommendations for farmers and agribusinesses. The course includes hands-on workshops with industry-standard tools like Python, R, and specialized agricultural databases.

    Course 4: Renewable Energy in Food Processing

    This course addresses the application of renewable energy sources in food processing and preservation systems. Topics include solar thermal systems, biomass utilization, wind power integration, energy storage solutions, and sustainable energy management in agricultural facilities.

    Students examine the economic viability of renewable energy projects, evaluate environmental impacts, design hybrid energy systems, and implement energy efficiency measures. Laboratory experiments involve testing solar panels, analyzing energy consumption patterns, and developing cost-benefit models for renewable energy adoption.

    Course 5: Sustainable Storage Systems

    This course focuses on designing and implementing sustainable storage solutions that maintain food quality while minimizing environmental impact. It covers climate-controlled storage, controlled atmosphere systems, vacuum packaging, smart sensors, and integrated monitoring technologies.

    The learning objectives include understanding the physics of food deterioration, evaluating storage system efficiency, selecting appropriate materials and technologies, and optimizing energy consumption. Students engage in designing prototype storage units, conducting performance tests, and analyzing data to improve system design.

    Course 6: Quality Management Systems

    This course introduces students to quality management principles specifically applied to food processing and agricultural systems. It covers international standards such as ISO 9001, HACCP, GMP, and FSSC 22000, along with risk assessment methodologies and continuous improvement processes.

    Students learn to implement quality control procedures, conduct audits, manage documentation systems, and develop corrective action plans. Practical sessions include case studies of successful quality management implementations, simulation exercises for regulatory compliance, and group projects on quality improvement initiatives.

    Course 7: Biotechnology in Food Processing

    This course explores the application of biotechnology in food production, preservation, and enhancement. It covers fermentation processes, enzyme technology, genetic modification, bioengineering applications, and novel food ingredients derived from biotechnological sources.

    The curriculum emphasizes understanding biochemical pathways, designing bioprocesses, optimizing microbial cultures, and evaluating safety and regulatory aspects of biotechnology applications in food systems. Laboratory experiments involve working with microorganisms, conducting fermentation processes, and analyzing product quality using advanced analytical techniques.

    Course 8: Climate Resilient Agriculture

    This course addresses the challenges posed by climate change on agricultural systems and develops strategies for adaptation and mitigation. Students study extreme weather events, water scarcity, soil degradation, biodiversity loss, and emerging threats to food security.

    Learning outcomes include assessing climate risks, developing adaptive management practices, implementing sustainable farming techniques, and designing resilient infrastructure. The course includes field visits to affected areas, data analysis of climate trends, and development of adaptation plans for specific agricultural contexts.

    Course 9: Smart Packaging Technologies

    This course examines innovative packaging solutions that enhance food quality, extend shelf-life, and provide consumer information. Topics include active packaging, intelligent packaging systems, nanotechnology applications, biodegradable materials, and traceability technologies.

    Students explore the science behind packaging materials, evaluate performance characteristics, design new packaging prototypes, and assess environmental impact. Practical sessions involve material testing, prototype development, and analysis of packaging effectiveness using advanced characterization techniques.

    Course 10: Supply Chain Optimization

    This course focuses on optimizing agricultural supply chains from farm to fork. It covers logistics planning, inventory management, transportation optimization, demand forecasting, and coordination among stakeholders in food systems.

    The learning objectives include understanding supply chain complexity, developing optimization models, implementing information systems, and managing risks throughout the value chain. Students engage in simulations of supply chain operations, analyze real-world case studies, and develop strategies for improving efficiency and reducing waste.

    Project-Based Learning Philosophy

    The department places a strong emphasis on project-based learning as a cornerstone of education. This approach ensures that students not only acquire theoretical knowledge but also apply it to solve real-world problems in post-harvest technology.

    Mini-Projects Structure

    Throughout the program, students undertake mini-projects that align with their academic progression and career interests. These projects are typically completed in teams of 3-5 members and span approximately two months.

    The mini-project process begins with a proposal phase where students identify a relevant problem statement, conduct literature review, and develop an initial research plan. Faculty mentors guide the project development, ensuring alignment with program objectives and industry relevance.

    Students must present their project progress at intermediate milestones and submit detailed reports documenting methodology, findings, and recommendations. The final presentation evaluates both technical competency and communication skills.

    Final-Year Thesis/Capstone Project

    The capstone project represents the culmination of students' academic journey and serves as a platform for demonstrating comprehensive expertise in post-harvest technology.

    Students select projects that address significant challenges in agriculture or food systems, often in collaboration with industry partners or research institutions. The project scope is substantial, requiring extensive research, experimentation, data analysis, and solution development.

    Faculty advisors are assigned based on project relevance and expertise alignment. Regular meetings ensure progress tracking, problem resolution, and quality assurance throughout the project lifecycle.

    The final deliverables include a comprehensive thesis, technical documentation, presentation materials, and potentially patent applications or commercialization opportunities. The project evaluation considers innovation, feasibility, impact, and adherence to professional standards.