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    Deep learning based agriculture IOT system

    by Omar Salem 08/23/2019 02:15 AM BST

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          Description

          Idea outline:

          This solution is satisfying the three deliverables through three main components, first component is a deep learning back-end application up and running on the cloud 24/7, the data needed by the application are provided by the meteorological center of each city/village. The deep learning application on the cloud is responsible for 1-triggering and controlling the water valves for each unit based on the its need of water -already processed and analyzed data-, each unit is a micro-controller inside the field and this is the second component of this system "Arduino micro-controller IOT". 2- second responsibility is to provide the end-user predictions on early extreme weather events alongside instructions of how to act upon these situations, all of that through the third system component which is a mobile application.

          Please find the block diagram for a better explanation.

          Business model:

          Mobile application is FREE to end-user.

          A responsible government is responsible for paying X amount of money for our business in opposite of implementing this system in a given city, Y amount of money for a given village.

          Also, a monthly amount of money for maintaining the application up and running.

          Also, a reasonable amount of money is paid in for buying/using our provided IOT device/application per unit.

          Co-authors to your solution

          Omar Salem, Abdallah Nasr, Youssef Fayed, Muhammed Sayed and Karim Amr

          Link to your concept design and documentation (Required by the final day of the Submission & Collaboration phase)

          Link to an online working solution or prototype (Required by the final day of the Submission & Collaboration phase):

          Link to a video or screencast of your solution or prototype (Required by the final day of the Submission & Collaboration phase):

          Link to source code of your solution or prototype above. (If you submitted a link to an online solution or prototype, or to a video of your solution of prototype, you must provide a link to the source code. This item is required by the final day of the submission phase):

          deep-learning,machine-learning,mobile-application,iot,microcontroller,arduino

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            on 08/23/2019
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