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                 POLITEKNIK TUANKU SULTANAH BAHIYAH                     INVENTORS:

                                                                        Dr Md Razak Bin Daud
                          PRODUCT ID : ICrIPE23-MP-45                   Wan Nor Shela Ezwane Binti Wan Jusoh
        PLANT HEALTH SCREENING MECHANISM FOR ZEA MAYS                   Shukri Bin Zakaria
                         FERTIGATION SYSTEM                             Ts. Mohd Iqbal Syazwan Bin Azizan



     PROJECT OVERVIEW
                                                             PROBLEM STATEMENTS:
                     This mobile automation image processing
                     project is very helpful towards producing
                     optimal healthy corn planting products.  The first symptoms on corn plants appear on the lower leaves.
                     The purpose of this innovation is to    Spots that occur later, caused by spores distributed by the wind, are
                     acquire data such as the level of       shown on the upper leaves. Also, Several insects  (a,b,c) damage
                                                             corn stalk in such a way that suggests a “budworm” or insect caused
                     defoliation on the entire corn plant based  the harm crops. Only by pulling up the plant and examining it
                     on the amount of fertilizer given,      carefully can the proper diagnosis be made. Therefore, with
                     exposure to sunlight and the amount of  periodic control (image monitoring), immediate prevention can be
                     water received. This innovation product  given to problem plants.
                     in agriculture and very helpful to monitor
                     the growth of zea mays , especially the
                     cultivation of the fertigation method.  1

     OBJECTIVES :

     • To design image detection system for monocotyledonous
       plants (ZEA MAYS ) based on optimization sweet corn
       features.

     • To develop a method for tracking the health of zea mays   INNOVATION HIGHLIGHT:
       using IoT-control mobile robot.
                                                             Produce a new mobile image processing system using the IoT
     • To analyze system usage image monitoring on corn      system for the main use of crop farmers in fertigation, especially
       plants using Bioleaf software                         Zea mays crops.  Reg No : LY2022O05057




     COMMERCIAL VALUE:                              1         DIAGRAM :

       Target market – Farmers, gardeners and researchers
       and interested individuals.

       Make it easy for users to monitor the growth and
       health of their plants (Zea Mays)



     CONCLUSION:

       This project demonstrates the potential of Internet of
     Things (IoT)-based agricultural device as well as the
     challenges associated with integrating these technologies
     into traditional farming.
       Overall, Agriculture has mostly transformed into smart
     agriculture because of the continuous development in
     Internet-based technology. The agricultural industry has
     changed as a result of this transformation, which has also
     brought new opportunities and challenges to the modern
     farmer entrepreneur.
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