Raspberry Pi: Automated Garden Monitoring SystemStacy, 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 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

Current Market Present Implementation:

Various sensors are monitored separately Current consumers:

greenhouses, hobbyists, farmers Limitations:

Resources, costs, time, accessibility/usability

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.

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

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.

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

Sensor & Raspberry Pi Setup

Photocell

Temp/Hum Sensor

Soil Moisture Sensor

Raspberry Pi

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