A smart and mechanized agricultural application: From cultivation to harvest

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dc.authoridFarzad Kiani / 0000-0002-0354-9344en_US
dc.authoridFateme Ayşin Anka / 0000-0002-2795-6438en_US
dc.authoridFahri Erenel / 0000-0001-8943-7265
dc.authorscopusidFarzad Kiani / 36662461100
dc.authorscopusidFateme Ayşin Anka / 57414861500
dc.authorscopusidFahri Erenel / 55643879500
dc.authorwosidFarzad Kiani / O-3363-2013en_US
dc.authorwosidFateme Ayşin Anka / GNA-1067-2022en_US
dc.authorwosidErenel, Fahri / G-5204-2019
dc.contributor.authorKiani, Farzad
dc.contributor.authorRandazzo, Giovanni
dc.contributor.authorYelmen, İlkay
dc.contributor.authorSeyyedabbasi, Amir
dc.contributor.authorNematzadeh, Sajjad
dc.contributor.authorAnka, Fateme Ayşin
dc.contributor.authorErenel, Fahri
dc.date.accessioned2022-07-05T11:57:44Z
dc.date.available2022-07-05T11:57:44Z
dc.date.issued2022en_US
dc.departmentİstinye Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, Yazılım Mühendisliği Bölümüen_US
dc.description.abstractFood needs are increasing day by day, and traditional agricultural methods are not responding efficiently. Moreover, considering other important global challenges such as energy sufficiency and migration crises, the need for sustainable agriculture has become essential. For this, an integrated smart and mechanism-application-based model is proposed in this study. This model consists of three stages. In the first phase (cultivation), the proposed model tried to plant crops in the most optimized way by using an automized algorithmic approach (Sand Cat Swarm Optimization algorithm). In the second stage (control and monitoring), the growing processes of the planted crops was tracked and monitored using Internet of Things (IoT) devices. In the third phase (harvesting), a new method (Reverse Ant Colony Optimization), inspired by the ACO algorithm, was proposed for harvesting by autonomous robots. In the proposed model, the most optimal path was analyzed. This model includes maximum profit, maximum quality, efficient use of resources such as human labor and water, the accurate location for planting each crop, the optimal path for autonomous robots, finding the best time to harvest, and consuming the least power. According to the results, the proposed model performs well compared to many well-known methods in the literature.en_US
dc.identifier.citationKiani, F., Randazzo, G., Yelmen, I., Seyyedabbasi, A., Nematzadeh, S., Anka, F. A. (2022). A smart and mechanized agricultural application: From cultivation to harvest. Applied Sciences-Basel, 12(12).en_US
dc.identifier.doi10.3390/app12126021en_US
dc.identifier.issn2076-3417en_US
dc.identifier.issue12en_US
dc.identifier.scopus2-s2.0-85132567954en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.urihttps://doi.org/10.3390/app12126021
dc.identifier.urihttps://hdl.handle.net/20.500.12713/2959
dc.identifier.volume12en_US
dc.identifier.wosWOS:000817426000001en_US
dc.identifier.wosqualityQ2en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorKiani, Farzad
dc.institutionauthorAnka, Fateme Ayşin
dc.institutionauthorErenel, Fahri
dc.language.isoenen_US
dc.publisherMDPIen_US
dc.relation.ispartofAPPLIED SCIENCES-BASELen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectAutonomous Robotsen_US
dc.subjectRemote Sensingen_US
dc.subjectSmart Agricultureen_US
dc.subjectClimate Changeen_US
dc.subjectEnvironmental Protectionen_US
dc.subjectDroneen_US
dc.subjectMetaheuristicen_US
dc.subjectInternet of Thingsen_US
dc.titleA smart and mechanized agricultural application: From cultivation to harvesten_US
dc.typeArticleen_US

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