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Productivity forecast with digital greenhouse automation system for sustainable agriculture

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dc.contributor.authorÇELEBİ, MEHMET FATİH
dc.contributor.authorERSOY, SEZGİN
dc.contributor.authorsGök A. E., Çelebi M. F., Koca A. S., Doğan M., Ersoy S.
dc.date.accessioned2023-06-08T07:35:25Z
dc.date.available2023-06-08T07:35:25Z
dc.date.issued2022-06-01
dc.description.abstractGreenhouses are a popular agricultural production method by providing artificial climatic conditions. Providing optimum climatic conditions depends on the equipment of the greenhouse. Greenhouse equipment consists of systems such as heating, ventilation, shading, irrigation, and fertilization. In modern greenhouse cultivation, all these have become controllable with smart systems. These modern greenhouses, in other words smart greenhouses, can read the ambient conditions in real-time with their advanced sensor systems and enable processes such as irrigation, adjustment of ambient temperature, and ventilation to be carried out autonomously. In this study, the working principle, general structure, design, and types of equipment used in the greenhouse automation system are explained, and the system is designed and simulated on the Unity Engine.
dc.identifier.citationGök A. E., Çelebi M. F., Koca A. S., Doğan M., Ersoy S., "Productivity forecast with digital greenhouse automation system for sustainable agriculture", Journal of Mechatronics and Artificial Intelligence in Engineering, cilt.3, sa.1, ss.40-46, 2022
dc.identifier.doi10.21595/jmai.2022.22730
dc.identifier.endpage46
dc.identifier.issue1
dc.identifier.startpage40
dc.identifier.urihttps://www.extrica.com/article/22730
dc.identifier.urihttps://hdl.handle.net/11424/290054
dc.identifier.volume3
dc.language.isoeng
dc.relation.ispartofJournal of Mechatronics and Artificial Intelligence in Engineering
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectMakina Mühendisliği
dc.subjectMühendislik ve Teknoloji
dc.subjectMechanical Engineering
dc.subjectEngineering and Technology
dc.subjectMühendislik, Bilişim ve Teknoloji (ENG)
dc.subjectMühendislik
dc.subjectMÜHENDİSLİK, MEKANİK
dc.subjectEngineering, Computing & Technology (ENG)
dc.subjectENGINEERING
dc.subjectENGINEERING, MECHANICAL
dc.subjectMakine Mühendisliği
dc.subjectHesaplamalı Mekanik
dc.subjectOtomotiv Mühendisliği
dc.subjectFizik Bilimleri
dc.subjectComputational Mechanics
dc.subjectAutomotive Engineering
dc.subjectPhysical Sciences
dc.subjectbiomass
dc.subjectbiorefinery
dc.subjectsystems design
dc.subjectzero emissions
dc.titleProductivity forecast with digital greenhouse automation system for sustainable agriculture
dc.typearticle
dspace.entity.typePublication
local.avesis.id16191408-780b-4449-8946-b608a07e1c05
relation.isAuthorOfPublicationc6058d21-5ade-4488-b230-8e13eae5066a
relation.isAuthorOfPublicationeea24e32-3704-4272-87de-e30b5c4e4c1e
relation.isAuthorOfPublication.latestForDiscoveryc6058d21-5ade-4488-b230-8e13eae5066a

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