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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
#Raspberry Pi #Node.js #Express #Mongo-DB #mongoose #Angular.js #Handlebars #Coffeescript #Bower #npom #Nitrous.io #resin.io #docker #android
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