Person: ÇELEBİ, MEHMET FATİH
Loading...
Email Address
Birth Date
Research Projects
Organizational Units
Job Title
Last Name
ÇELEBİ
First Name
MEHMET FATİH
Name
4 results
Search Results
Now showing 1 - 4 of 4
Publication Open 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.Publication Open 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.Publication Open Access Textile-Based Thermally Driven Actuators for Soft Robotic Mechanotherapy Applications(2022-05-17) KOÇAK, EMİNE DİLARA; TUNÇAY ATALAY, ASLI; ÇELEBİ, MEHMET FATİH; Celebi M. F., Beler Z., Dede E., Koçak E. D., Atalay Ö., Tunçay Atalay A., Gazi V.Rigid-body industrial robotic manipulators and pneumatic compression systems are widely used in mechano-therapeutic applications. However, rigid and bulky components reduce the wearability of the system in mobile environments. The current trend in wearable robotics tends to build such devices using textiles/silicone materials thanks to their lightness, compliancy, and comfort properties. In this study, thermally powered soft fluidic actuators that utilize liquid/gas phase transition property of low boiling point liquids are investigated. Proposed actuators generate desired pressure level and have great potential to free mechano-therapy devices from such bulky components. The developed structure incorporates textile-based heaters, thin film actuator shells, and low boiling point liquids. Here, two low boiling liquids with different boiling temperature are mixed successfully in order to obtain desired boiling point. Results a revealed that actuators constructed with PE/PA membrane did not show any deterioration even after 500 cycle actuation. In order to control the system, instantaneous temperature of the textile-based heater on the actuator device is used as feedback for the on-off controller.Publication Open Access Thermally Powered Soft Gripper Covered with Silver Coated Nylon Fabric Heater Reinforced with Stainless Steel Yarn(2024-05-01) ÇELEBİ, MEHMET FATİH; Taherkhani B., Çelebi M. F., Çetin M. S., Tunçay Atalay A., İnce G., Atalay Ö.Soft grippers, generating movement immediately, are generally based on flexible materials actuated by air pressure and comprised of bulky parts, including valves, compressors/pumps, motors, and tubes. In this work, a compact soft gripper with the ability to actuate with a low boiling point liquid (acetone) is presented. SolidWorks 2021 software and 3D printing technology are used to design and manufacture the gripper molds, respectively. The constitutive material of the soft gripper body is highly flexible Ecoflex. A silver-coated nylon fabric (SCNF) heater reinforced with stainless steel yarn (SSY) covering the external surface of the gripper was designed and manufactured using Autocad 2021 and a laser cutting machine, respectively. The idea is inspired by floating the gripper in warm water to provide smooth heat over a large surface area. The available commercial software Abaqus2021 is used to simulate the mechanical deformation of the gripper, and its results are verified with experimental results. The parameter’s effect including the voltage and low boiling liquid volume on achievable force and actuating time are investigated. The relation between the electrical, thermal, and mechanical properties of the presented gripper is discussed in detail.