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Olive Fruit Fly Detection and Monitoring Solution Athens Location Sponsored by coLab Raspberry-Pi & Camera Sponsored by resin.io

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Olive Fruit Fly Detection and Monitoring Solution Olive fruit fly poses a severe economic threat to olive growers throughout the world (Greece, Spain, France, Italy, Turkey, California). According to University of California Agriculture & Natural Resources IPM Online (http://www.ipm.ucdavis.edu/PMG/PESTNOTES/pn74112.html) the larvae of the olive fruit fly feed inside the fruit, destroying the pulp and allowing the entry of secondary bacteria and fungi that rot the fruit and degrade the quality of the oil. Feeding damage can cause premature fruit drop and reduce fruit quality for both table olive and olive oil production. Large numbers of rotting fruit on the ground can create an unwelcome mess, especially in landscaped situations. Olive fruit fly threat has a high social-economic impact i.e. according to European Union report http://ec.europa.eu/environment/life/publications/lifepublications/lifefocus/documents/oliveoil.pdf in Europe the olives area of production is around 4,8 Million (ha) and the sector only in Spain creates 7500 full-time jobs. Currently olive fruit detection and monitoring is done with the use of McPhail-type traps or yellow sticky tapes with pheromone either chemical or biological (ECO TRAP) attractive to male flies. According to EU guidelines 2-3 monitoring traps should be present on 10,000 square metres and monitoring of the traps should be done every 2 days. Currently there is no monitoring system capable to distribute the monitoring data in real time to allow quick identification of an olive fruit fly population. Our hack idea is to utilize modern technologies Machine to Machine, Resin.io, Raspberry Pi, Collective Intelligence, Image Processing, Social Networking and Cloud computing with the goal to improve olive fruit fly detection and monitoring system. See More here : http://goo.gl/UWjPPu using #Raspberry Pi #Node.js #Express #Mongo-DB #mongoose #Angular.js #Handlebars #Coffeescript #Bower #npom #Nitrous.io #resin.io #docker #android

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Page 1: Olive fruit fly

Olive Fruit Fly Detection and Monitoring Solution

Athens Location Sponsored by coLab

Raspberry-Pi & CameraSponsored by resin.io

Page 2: Olive fruit fly

Local Farmer

Agronomists

Other Farmers

High Level Architecture Friday 7/2/2014 19:00 CET

A

B1 B2B

B3

OpenData

Data Hackers

Biological Olive Fly ProtectionSpread via Drone

Page 3: Olive fruit fly

Staacy Cannon

Thomas PorterRobin Venneman

Sotiris Salloumis

Daryl Lukas

Global Online TeamThanks to Staacy Cannon for her support from Geeklist without her this team would not exist

Thanks to Resin.io team at Athens Offices for their supportThanks to CoLab Workspace and Spiros Kapetanakis for hosting the event in Athens

Thanks to family and friends supporting during this 48hous hackathon

Page 4: Olive fruit fly

Type B (Collector)

Raspberry Pi

Camera

WiFi

Solar Powered : http://reviews.cnet.co.uk/desktops/how-to-make-a-raspberry-pi-solar-powered-ftp-server-50009923/

http://reviews.cnet.co.uk/desktops/how-to-make-a-raspberry-pi-solar-powered-ftp-server-50009923/
Page 5: Olive fruit fly

Collector

Page 6: Olive fruit fly

High-Res ImageLongitude – LatitudeTimestampFarm IdCamera Id..

API

Nitrous.io

Frontend

Farmer Agronomist

Page 7: Olive fruit fly
Page 8: Olive fruit fly
Page 9: Olive fruit fly

Summary

Collector

• Collector• Hardware

• Raspberry Pi + Camera module• McPhail Traps• Customizing to attach Raspberry Pi +

Camera

• Software• Raspberry Bash Script resin.io

• Backend• API for collector gathering• API for frontend

Frontend

• Frontend• One Page App

• Register• Sign-in• Angular-Js Google Maps status

• Android• Farmer Apps

• Architecture• Web 2.0 – API powered

Page 10: Olive fruit fly

Full of Geek Technologies

Frontend

• Node.js / Express

• Mongo-DB / mongoose

• Angular.js

• Handlebars

• Coffeescript

• Bower / npm

• Nitrous.io

Collector

• Raspberry-Pi + Camer

• resin.io

• Docker

• Android


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