Heilmeier Questions Stacy, Devin, Brandon. What are we trying to do?  We are trying to implement an automated greenhouse monitor system.  Monitor and.

Slides:



Advertisements
Similar presentations
Meet Iris – Lowe’s Smart Home Platform
Advertisements

Greenhouse Functions and Controls Horticulture II.
System Design and Memory Limits. Problem  If you were integrating a feed of end of day stock price information (open, high, low, and closing price) for.
M2M Evolution Battle of the Platforms 2013
Greenhouse Monitoring using Wireless Sensor Networks (GWSN) Sponsored by INNOVA Rongo Rongo.
By Brandon Sheppard. Use of Iterator  Sequentially move through a collection  Can be very convenient  Phonebook example: Phone number listings stored.
Rongo Rongo Rongo Rongo. » Team Members » Problem Definition » Purpose of the Project » Market Research » Project ˃Hardware ˃How it works ˃Target » What.
Cisco EnergyWise. “To satisfy world energy demand in 2030, production must increase 82%.” Energy Information Administration, U.S. Dept. of Energy, 2007.
2008/7/3 NanoMon: An Adaptable Sensor Network Monitoring Software Misun Yu, Haeyong Kim, and Pyeongsoo Mah Embedded S/W Research Division Electronics and.
David Heitman.  This app is free  It is also available on Iphone, Android and Blackberry  Can be used for running, walking, cycling and distance sports.
If You Don’t Measure It, You Can’t Manage It! Enterprise Energy Management (EEM) also known as Monitoring and Targeting (M&T) is the key to measuring.
Monitoring and Measurement
Remote Monitoring. ShockWatch Cold Chain Solutions TrekView Multi-use recorder Performance Data Recorders Chemical Indicators ColdMark 2 WarmMark 2 Single.
Raspberry Pi Garden Monitoring System: Current Progress The Garden Gnomes: Stacy Mar, Brandon Meyers, Devin Mullins.
Abstract Home gardening is still largely more art than science. While sensor solutions exist for professional farmers, few cheap and convenient devices.
May 2014 Zimele Technologies Customer convenience through mobile MDMS applications.
Android in the Cloud Chromebooks, BYOD and Wearables Joel Isaacson Copyright 2014 Joel Isaacson
Ihr Logo Data Explorer - A data profiling tool. Your Logo Agenda  Introduction  Existing System  Limitations of Existing System  Proposed Solution.
Mobile Agent Technology for the Management of Distributed Systems - a Case Study Claudia Raibulet& Claudio Demartini Politecnico di Torino, Dipartimento.
AR: An ‘app’ which adds a layer to what you see when looking through your phone or tablet at an object, a poster or perhaps even a building.
Use of ICTs in Education, Healthcare and Agriculture
Raspberry Pi: Automated Garden Monitoring System Stacy, Devin, Brandon.
1 Applying Remote Sensing Technology to Agricultural Statistics of Beijing Wang Yanyan Beijing Municipal Bureau of Statistics October 2008.
The application of nanotechnology to agriculture is possible by setting up 1.A controlled environment agriculture. & 2.Implementing precision farming.
EXPLORING ALTERNATE WAYS OF COOLING SPACES. Addressing Current Issues:  Rising electric consumption  Suffering Environment  Need for more Action &
Submission doc.: IEEE /1112r1 Use Case of LRLP Operation for IoT September 2015 Chittabrata Ghosh, IntelSlide 1 Date: Authors:
Submission July 2015doc.: IEEE /0919r1 Slide 1 NGP Use Case Date: Authors: Chittabrata Ghosh et.al., Intel.
Team 4 Smart Garden Irrigation System
 Problem Definition  Presented by Sushant and Alex Overview of the problem space Scenario Issues Example (plant care example) Discussion conclusion open.
Smart Home for disabled people Students: Atara Gutman and Anastasia Logvinenko Instructor: Alexander Kinko PDR presentation Semester Spring part.
Submission doc.: IEEE /1365r0 Use Cases of LRLP Operation for IoT November 2015 Chittabrata Ghosh, IntelSlide 1 Date: Authors:
Designing an experiment
CONTENTS: 1.Abstract. 2.Objective. 3.Block diagram. 4.Methodology. 5.Advantages and Disadvantages. 6.Applications. 7.Conclusion.
Questions When have you used GPS? GPS technology uses satellites to pinpoint position on Earth with the aid of a GPS device or unit Have you ever used.
H 2 Ometer Patrick Jumper Jenna Smith AGJR 407 April 29, 2004 Conserving Water for Our Future…
ORT Braude College – Software Engineering Department WristQue: A Personal Sensor Wirstband Brian D. Mayton, Nan Zhao, Matt Aldrich, Nicholas Gillian, and.
Smart Homes Market: By System Types (Security systems, HVAC, Lighting Control Systems, Entertainment); by standards (DALI, KNX, Wi-Fi, ZigBee, Enocean)
C ONTEXT AWARE SMART PHONE YOGITHA N. & PREETHI G.D. 6 th SEM, B.E.(C.S.E) SIDDAGANGA INSTITUTE OF TECHNOLOGY TUMKUR
AGROFARM WEATHER MONITOR USING LabVIEW. INTRODUCTION Innovation in agriculture field Implementing instrumentation tech. in agricultural field The quantity.
FREESCALE KINETIS TRANSPORTER (Device that talks to your car, home, phone) An Accessory to your phone and your car ID:FSL35.
Announce-1 CSE 5810Announcements  Informatics is:  Management and Processing of Data  From Multiple Sources/Contexts  Involves Classification (Ontologies),
Final Report Yijie Xiao Project Title: Design and Development of a Continuous Monitoring System based on Wearable Devices Page 1.
 AgriGreen is an automated plant environment controller that monitors soil conditions at the plants roots in real time and controls irrigation and fertilization.
Modern trends in agriculture with wire less sensor networks and Mobile Computing By Dr Lakshman Rao ( Prakasam Engineering College ), G V S N R V Prasad.
THE DIGITAL JOURNEY What IP means for technology enabled care
XBee Based Motor Control for Farmers
SDP17 Gro-Pro Abstract System Overview Block Diagram Results
Smart Hydroponic Greenhouse December 8, 2016
Smart Hydroponic Greenhouse October 17, 2016
Security service management of tomorrow
Raspberry pi controlled greenhouse
Smart Building Solution
UNIQUE SELLING POINTS ELEVATOR PITCH VALUE ARGUMENTATION
Growing Plants with the Power of Robotany
Metrics for Marketing Data Collection and Analysis Tools.
Smart Hydroponic Greenhouse March 9, 2017
Smart Building Solution
WELCOME Mobile Applications Testing
Introduction to Geospatial Technologies in Ag
Acer Technical Support Number
Daryl Herzmann and Raymond Arritt
Making Exercise Easy Matthew Penk.
Innovate. Improve. Grow. WEAVER: HEXAPOD ROBOT WITH 5DOF LIMBS FOR NAVIGATING ON UNSTRUCTURED TERRAIN.
Automated Irrigation Control System
Project Smart Sleeper Mid-Semester Check-In
Selling IIoT Solutions to End Users
Management of Digital Ecosystem for Smart Agriculture
DESIGN AND IMPLEMENTATION OF A GREENHOUSE MONITORING AND CONTROL SYSTEM NAME:AISHA YAHAYA 1.
Ecology, Environment, Climate Change and Disaster Management
Impact of IoT/AI in Agriculture
Presentation transcript:

Heilmeier Questions Stacy, Devin, Brandon

What are we trying to do?  We are trying to implement an automated greenhouse monitor system.  Monitor and store various metrics such as light, relative humidity, soil moisture, temperature, etc.  Provide application to view this data remotely, as well as database back end to access and view past statistics.  Explore scalability

How, who, what?  How is this done presently  Various sensors are monitored separately  Who is doing this?  Greenhouses, hobbyists, farmers.  What are the limitations?  Resources, costs, time

What is new about our approach  Several sensors integrated into one 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 app.

Why can we be successful?  “Smart” devices are on the rise ( tablets, phones, etc ).  An integrated, aesthetically pleasing, easy to use app is desirable to a wide range of markets  This includes garden enthusiasts and with proper scalability greenhouse managers.

What difference does this make?  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.

Progress Estimations  Time to complete  2 Semesters ( includes planning, part ordering, design, implementation, data collection, and testing )  Metrics  Ability to integrate sensors  Integrity of data collected from sensors  Success in data collection  Living plants  Cost  Estimated: $300-$400