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  • JSSMVP
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JSS Mahavidyapeetha

JSS Academy of Technical Education, Bengaluru    

Approved by All India Council for Technical Education (AICTE), New Delhi. Six UG programs are Accredited by National Board of Accreditation (NBA), New Delhi. Recognized under 2(f) University Grants Commission (UGC), New Delhi Affiliated to Visvesvaraya Technological University (VTU) Belagavi, Karnataka. Recognized by Govt. of Karnataka.

Faculty Development Programme Sponsored by ATAL Academy
Artificial Intelligence and Machine learning Techniques for Precision Agriculture(10-10-2022 to 22-10-2022)

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Faculty Development Programme

About the FDP

Agriculture plays an important role in economy of any nation. Economy of agricultural industries directly depends on the production of agriculture. A stable agricultural industry ensures a country for food security, source of income and source of employment. Agriculture production is an outcome of a complex interaction of soil, seed, water and agrochemicals. Economic advancement and increasing global population expand the demand for agriculture production. As per the prediction of food and agriculture organization (FAO), the global food requirement will increase about 60% by the year 2050. The growing need for food worldwide requires the development of a high-performance, high-productivity, and sustainable agriculture, which implies the introduction of new technologies into monitoring activities related to control and decision-making.
With this backdrop it is imperative that the only solution is to make efforts to maximize the per unit produce through technology-enabled agricultural practices. In this direction Precision agriculture solutions have shown promising results. ‘Precision agriculture is a management strategy that gathers, processes and analyzes temporal, spatial and individual data and combines it with other information to support management decisions according to estimated variability for improved resource use efficiency, productivity, quality, profitability and sustainability of agricultural production.’
It is proven that AI and allied fields like ML, Deep Learning, Data mining and IoT techniques have potential to build intelligent and sensible systems for different agriculture applications. Artificial intelligence (AI) is the simulation of human intelligence processes by machines, especially using computer systems. The aspects such as consciousness and cognition are key features of AI techniques. The AI methods exploit resistance for uncertainty, imprecision and ensure conformity, robustness and offers economical solutions.
At the national and international scenario there is a significant adoption of precision agriculture which includes AI, ML, Deep learning and IoT based solutions. This has taken the farming to the next level. Smart agriculture is already becoming more common place among farmers.
The main focus of this FDP is to sensitize participants with precision agriculture technology, the present status, benefits, and limitations of the state-of-the-art technologies used in Precision Agriculture.

OBJECTIVES

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1. To enable the participants with the AI, ML and Deep Learning concepts.

2. To enable participants to learn the Applications of AI & ML Concepts.

3. To explore knowledge of precision agriculture with the aid of AI & ML Techniques.

4. To gain knowledge and skills through research papers related to Precision Agriculture.

5. To provide Hands-on sessions to gain practical knowledge through various AI and ML tools.

Program Contents:

  • Introduction to Precision Agriculture
  • Fundamentals and role of AI, ML and IoT in Precision Agriculture
  • AI enabled smart agriculture: Architecture, Applications and Challenges
  • Soft computing models.
  • Advanced Computer vision algorithms for Precision Agriculture
  • Hands-on/Demo of AI and ML tools.

CHIEF PATRON

  • His Holiness Jagadguru Sri Shivaratri Deshikendra Mahaswamiji
    President, JSS Mahavidyapeetha, Mysuru

PATRONS/CO-PATRON

    PATRONS
    • Dr. C G Betsurmath Executive Secretary, JSSMVP, Mysuru
    • Prof. M H Dhananjaya Advisor (T), JSSMVP, Mysuru
    • Dr. B Suresh Pro Chancellor, JSSAHER, Mysuru Director, JSSMVP, Mysuru
    • Dr. H R Mahadevaswamy Joint Director (TED), JSSMVP, Mysuru

      CO-PATRON
    • Dr. Bhimasen Soragaon Principal, JSSATE, Bengaluru
  • Dr. M. S. Sheshshayee, Professor & Head Department of Physiology UAS, GKVK, Bengaluru.
  • Dr. Milli Pant, Professor, Department of Applied Mathematics and Scientific Computing, IIT- Roorkee.
  • Dr. S.N. Omkar, Chief Research Scientist, Control & Guidance, Aerospace Engineering, IISc, Bengaluru.
  • Dr. D.S. Guru, Professor and Chairman, Department of Studies in Computer Science, University of Mysore, Mysuru.
  • Dr. K Rajan, Principal Scientist, ICAR – IISWC, RC-Datia, Madhya Pradesh.
  • Dr. SiddeswaraMayura Guru, Director, Data Science at Terrestrial Ecosystem Research Network, University of Melbourne, Australia
  • Dr. Manjunath S, Leading Engineer, Samsung Electro mechanics India Pvt. Ltd, Bengaluru
  • Dr. ShivaramaVaramballi, Professor of Psychiatry, NIMHANS, Bengaluru
  • Dr. Prabhudev Jagadeesh, Professor, JSS Academy of Technical Education, Bengaluru
  • Mr. Pradeep H K, Assistant Professor, JSS Academy of Technical Education, Bengaluru
  • Mr. Abhilash Manu, Innovation Leader, Ernst and Young, Bengaluru, India

As per the directives of the AICTE Training and Learning (ATAL) Academy, the target audience includes faculty members of AICTE approved institutions, Research scholars, PG Scholars.

  • No Registration Fee.
  • It is mandatory to submit the registration form in the enclosed format signed by the Head of Department/Institution and email to jssatebatalfdp@gmail.com
  • Participants can register for this FDP on AICTE-ATAL website by following the steps below:
  • Sign-up at https://atalacademy.aicte-india.org/signup(If the participant does'nt have an account as participant)
  • Register as Participant
  • Click on FDPs/CPDPs/Workshop Select Type as 'ATAL', Select Month as 'October', Select Thrust area as 'Thrust areas'
  • Register for the Title “Artificial Intelligence and Machine learning Techniques for Precision Agriculture.

  • For details regarding Test, Attendance and Certificate please refer the ATAL scheme document https://atalacademy.aicte-india.org/assets/data/scheme_doc.pdf
  • 10-10-2022 To 15-10-2022 ONLINE(7:00 PM To 9:30 PM)
  • 17-10-2022 To 21-10-2022 OFFLINE (9:30 AM To 5:15 PM)
  • It is mandatory to attend both online and offline sessions of FDP

    • The Department of Computer Science and Engineering was established in the year 1997, with the objective of imparting quality Education in the field of Computer Science and Engineering. The department is accredited by NBA with current intake of 180 Students. The department has to its credit a team of qualified, experienced and dedicated faculty, whose main aim is to equip students with the knowledge and expertise to grow professionally and contribute significantly to the society. The department is recognized as a research centre by Visvesyaraya Technological University, Belagavi. Faculty members are actively involved in publishing research papers in various International Journals and Conferences. Department regularly organizes Student development programmes, faculty development programmes, conferences and workshops. A continuous interaction with industries is established through MOUs, Industry visits and Internships. With rapidly evolving technology and continuous need for innovation, it has been the Department's ongoing endeavor to produce quality engineering Graduates.

    AICTE Training And Learning (ATAL) Academy is committed for development of quality technical education in the country by initiating various schemes launched by Ministry of Human Resource Development, Govt. of India. Its vision is to empower faculty to achieve goals of Higher Education such as access, equity and quality. Main objective of ATAL Academies is to plan and help in imparting quality technical education in the country and to support Technical Institutions in fostering Research, Innovation and Entrepreneurship through training in various emerging areas.

    • Dr. Prabhudev Jagadeesh Professor, Department of CSE Mobile no : 9886893897
      Co-Coordinator
    • Mr. Pradeep H.K Asst. Professor, Department of CSE Mobile No. 9738456263

    • Dr. Naveen N C Professor & Head,
    • All Teaching and Non-Teaching Staff
      Department of Computer Science and Engineering
      JSS Academy of Technical Education


    NAVIGATION