Location-aware system for olive fruit fly spray control

dc.contributor.author	Pontikakos, CM	en
dc.contributor.author	Tsiligiridis, TA	en
dc.contributor.author	Drougka, ME	en
dc.date.accessioned	2014-06-06T06:50:33Z
dc.date.available	2014-06-06T06:50:33Z
dc.date.issued	2010	en
dc.identifier.issn	01681699	en
dc.identifier.uri	http://dx.doi.org/10.1016/j.compag.2009.07.013	en
dc.identifier.uri	http://62.217.125.90/xmlui/handle/123456789/5067
dc.subject	Expert system	en
dc.subject	Geographical Information System	en
dc.subject	Location-aware system	en
dc.subject	Olive fruit fly	en
dc.subject	Precision Farming	en
dc.subject.other	Design issues	en
dc.subject.other	Environmental-friendly	en
dc.subject.other	Food safety	en
dc.subject.other	Fruit flies	en
dc.subject.other	Geographical Information System	en
dc.subject.other	Geographical information systems	en
dc.subject.other	Ground control	en
dc.subject.other	Local climate	en
dc.subject.other	Location aware system	en
dc.subject.other	Location awareness	en
dc.subject.other	Location-aware	en
dc.subject.other	Location-sensing	en
dc.subject.other	Meteorological condition	en
dc.subject.other	Middleware architecture	en
dc.subject.other	Operational capabilities	en
dc.subject.other	Precision farming	en
dc.subject.other	Public health	en
dc.subject.other	Safe distance	en
dc.subject.other	Spraying process	en
dc.subject.other	Wireless internet	en
dc.subject.other	Agriculture	en
dc.subject.other	Concurrent engineering	en
dc.subject.other	Geographic information systems	en
dc.subject.other	Health	en
dc.subject.other	Health risks	en
dc.subject.other	Information systems	en
dc.subject.other	Insecticides	en
dc.subject.other	Job analysis	en
dc.subject.other	Lithium alloys	en
dc.subject.other	Middleware	en
dc.subject.other	Pest control	en
dc.subject.other	Rapid prototyping	en
dc.subject.other	Rock mechanics	en
dc.subject.other	Wireless telecommunication systems	en
dc.subject.other	Expert systems	en
dc.subject.other	bait	en
dc.subject.other	climate conditions	en
dc.subject.other	decision making	en
dc.subject.other	evergreen tree	en
dc.subject.other	expert system	en
dc.subject.other	fly	en
dc.subject.other	GIS	en
dc.subject.other	insecticide	en
dc.subject.other	pesticide residue	en
dc.subject.other	precision agriculture	en
dc.subject.other	spatiotemporal analysis	en
dc.subject.other	Bactrocera oleae	en
dc.title	Location-aware system for olive fruit fly spray control	en
heal.type	journalArticle	en
heal.identifier.primary	10.1016/j.compag.2009.07.013	en
heal.publicationDate	2010	en
heal.abstract	Location awareness is essential for many Precision Farming (PF) tasks with strong spatiotemporal, environmental, public health and food safety characteristics. Nevertheless, its role is much more crucial in PF tasks with efficacy depending mainly on local climate conditions and the collaboration of users. A PF task with the aforementioned characteristics is the insecticide-bait ground spraying against olive fruit fly, the most serious pest on olive cultivations. It requires location awareness, so as to be more efficient, friendly for the environment and the domestic areas, and ensure olive products with low insecticide residues. This research proposes an innovative, integrated, Location-Aware System (LAS) suitable for the ground control of the olive fruit fly. The developed system enables rapid prototyping of Location-Aware (LA) services in an intelligent PF environment combining location sensing technologies with wireless Internet, Geographical Information Systems (GIS), and Expert Systems (ES). We focus on the functional and operational capabilities of the middleware architecture, on the design issues of the developed GIS, ES, and LA modules, as well as, on the factors and infrastructure that must be considered during the spraying process. Based on this framework we developed specific LA services, such as finding the area to be sprayed, estimating the amount of the spraying solution required, canceling the spraying process, etc. These services aim in a more efficient and environmental friendly treatment. To validate the LAS a moderate-scale experiment is performed showing that the proposed system is functional and operational. LAS consult effectively the tractor attendants on how to spray, by means of reducing spraying failures and minimizing the decisions that must be taken during spraying process. Preliminary results report that with LAS no over sprayings occur, sprayings are based on infestation risk, cultivation characteristics, and meteorological conditions. Finally, a safe distance from biological cultivations, environmental protected and domestic areas is kept, avoiding pollution of these areas with insecticide residues. © 2009 Elsevier B.V. All rights reserved.	en
heal.journalName	Computers and Electronics in Agriculture	en
dc.identifier.issue	2	en
dc.identifier.volume	70	en
dc.identifier.doi	10.1016/j.compag.2009.07.013	en
dc.identifier.spage	355	en
dc.identifier.epage	368	en