Yüksek LisansAçık Erişim

Fuzzy logic based remote control system in greenhouse applications

2018
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Danışman: Dr. Öğr. Üyesi Ebubekir Erdem

Özet (EN)

Smart Greenhouse Systems that using wireless sensor networks and internet of things are advantages in terms of cost, time, energy, water and light efficiency and product quality and productivity. Monitoring a greenhouse, controlling the environmental parameters in the greenhouse and managing the greenhouse is one of the most concentrated workspaces in the greenhouse systems.In this study, the smart greenhouse system has been developed to monitor the environmental parameters such as temperature, relative humidity, soil moisture and light intensity of the greenhouses in real time. The developed smart greenhouse system is an application that performs the heating, cooling, lighting, shading and watering controls of the greenhouse by remote access. For this work, sensors, nodule packages, power supply and module using wifi wireless communication technology are used. The created wireless sensor network is controlled by fuzzy logic method. The optimum values for heating, cooling, lighting, shading and watering of the greenhouse have been calculated using the fuzzy logic system. The input values and output values of the fuzzy logic system have been presented to user with an Android-based application that can be remotely accessed. The user can control the system manually or automatically. It is aimed at the farmers / users to monitor and control the greenhouses. The hardware used in developed the application is low cost, low battery consumption, easy to use and reliable. An effective check is made because the fuzzy logic system is used in the intermediate states. With developed application it has removed the limitations that of the user time and space since the user can remotely monitor and control the greenhouse. All of them demonstrate the advantages of this developed application.

Yazar

Dr. Özlem Alpay

Bu Yayına Nasıl Atıf Yapılır

Özlem Alpay (Master Thesis). Fuzzy logic based remote control system in greenhouse applications, 2018, Fırat University.

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