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ERSOY, SEZGİN

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ERSOY

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SEZGİN

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  • PublicationOpen Access
    Discovery of agricultural diseases by deep learning and object detection
    (2022-01-01) ÇELEBİ, MEHMET FATİH; ERSOY, SEZGİN; Karakaya M., Çelebi M. F., Gok A. E., Ersoy S.
    In this study deep learning and object detection models for image-based plant disease recognition have been carried. Trained models were tested on pictures and in real-time with a video camera for five different diseases in tomato leaves. Object detection algorithm was implemented from the personal computer, and deep learning models were applied via Google Colab. Real-time object detection was achieved in the developed model with YOLOv5 algorithm with the highest accuracy of 93.38% in validation accuracy and 94.48% in training accuracy with the highest value of 92.96% in precision. Furthermore, it has been observed that YOLOv5 algorithm gives faster and more accurate results than the previous versions of YOLO.
  • PublicationOpen Access
    Productivity forecast with digital greenhouse automation system for sustainable agriculture
    (2022-06-01) ÇELEBİ, MEHMET FATİH; ERSOY, SEZGİN; Gök A. E., Çelebi M. F., Koca A. S., Doğan M., Ersoy S.
    Greenhouses 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.