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Raspberry Pi: Automated Garden Monitoring System

Raspberry Pi: Automated Garden Monitoring System. Stacy, Devin, Brandon. Project Description. Goal: implement an automated greenhouse monitor system. Platforms: Raspberry Pi for sensor integration MySQL Database Backend Android Application Controller Web Application. Project Description.

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Raspberry Pi: Automated Garden Monitoring System

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  1. Raspberry Pi: Automated Garden Monitoring System Stacy, Devin, Brandon

  2. Project Description • Goal: implement an automated greenhouse monitor system. • Platforms: • Raspberry Pi for sensor integration • MySQL Database Backend • Android Application Controller • Web Application

  3. Project Description • Functions: • Monitor and store various metrics such as light, relative humidity, soil moisture, temperature, water level, etc. • Provide application to view this data remotely, as well as database back end to access and view past statistics. • Explore scalability

  4. Current Market • Present Implementation: • Various sensors are monitored separately • Current consumers: • greenhouses, hobbyists, farmers • Limitations: • Resources, costs, time, accessibility/usability

  5. Our Approach • Several sensors integrated into Raspberry Pi platform that can be monitored from a single convenient application. • Information can be viewed both in real time and by querying the database of past metrics all in the same Android application.

  6. Project Advantage • “Smart” devices are on the rise ( tablets, phones, etc ), high demand. • Increasing in availability, usability • An integrated, aesthetically pleasing, easy to use app • Market includes garden enthusiasts and with proper scalability, greenhouse managers. • Low costs • Affordability of Raspberry Pi • Higher Levels of Customization • Raspberry Pi is open source

  7. Contributions • Improves efficiency • Allows remote care of plants. • Allows user to be constantly plugged in to their agricultural operation, resulting in better care and plant yield.

  8. Current Progress • Sensor Integration • All sensors reporting valid data • Android GUI • Prototype generated • Work done towards integration with database • Database • Sample data collected • Database populated with sample data

  9. Sensor & Raspberry Pi Setup Soil Moisture Sensor Raspberry Pi Photocell Temp/Hum Sensor

  10. Future Progress • Set up environment • Sprinkler/irrigation system • Lighting • Plants • Connect Database • Set up Raspberry Pi to act as database server • Refine Android Application • Integrate with Raspberry Pi and database

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