Yazar "Kayhan, Gokhan" için listeleme
-
Bird'S-Eye View Images Taken Plant Material and Counting
Karhan, Zehra; Karakaya, Aykut; Senyer, Nurettin; Kayhan, Gokhan (Ieee, 2015)In this study, the recognition of agri-food plants out of the images obtained by the UAV and are intended to implement the counting process. Images obtained with the UAV from plants separation from the background; K-Means ... -
Comparision of some models for estimation of reflectance of hypericum leaves under stress conditions
Temizel, Kadir Ersin; Odabas, Mehmet Serhat; Senyer, Nurettin; Kayhan, Gokhan; Bajwa, Sreekala Gopalapillai; Caliskan, Omer; Ergun, Erhan (De Gruyter Open Ltd, 2014)Lack of water resources and high water salinity levels are among the most important growth-restricting factors for plants species of the world. This research investigates the effect of irrigation levels and salinity on ... -
Determination of Reflectance Values of Hypericum'S Leaves Under Stress Conditions Using Adaptive Network Based Fuzzy Inference System
Odabas, Mehmet Serhat; Temizel, Kadir Ersin; Caliskan, Omer; Senyer, Nurettin; Kayhan, Gokhan; Ergun, Erhan (Acad Sciences Czech Republic, Inst Computer Science, 2014)The effects of water stress and salt levels on hypericum's leaves were examined on greenhouse-grown plants of Hypericum perforatum L. by spectral reflectance. Salt levels and irrigation levels were applied 0, 1, 2.5 and 4 ... -
Determination of the Sources of Electric Field Strength in a Medium by Artificial Neural Network
Kurnaz, Cetin; Engiz, Begum Korunur; Kayhan, Gokhan (Ieee, 2017)This study aims to determine total electric field strength (E) levels and its main sources in Samsun city center. To reach this goal extensive E and band selective E measurements were performed using Narda SRM 3006. The ... -
The Estimation of Adult and Nymph Stages of Aphis Fabae (Hemiptera: Aphididae) Using Artificial Neural Network
Saruhan, Islam; Senyer, Nurettin; Ayvaz, Tamer; Kayhan, Gokhan; Ergun, Erhan; Odabas, Mehmet Serhat; Akca, Izzet (Amer Entomol Soc, 2015)In this research, the estimation of adult and nymph stages and adult of Aphis fabae was investigated using artificial neural network. Determining A. fabae nymph stages is difficult. Morphometric study of different parts ... -
Estimation of Chlorophyll Concentration Index at Leaves using Artificial Neural Networks
Odabas, Mehmet Serhat; Senyer, Nurettin; Kayhan, Gokhan; Ergun, Erhan (World Scientific Publ Co Pte Ltd, 2017)In this study, the effectiveness of an SPAD-502 portable chlorophyll (Chl) meter was evaluated for estimating the Chl contents in leaves of some medicinal and aromatic plants. To predict the individual chlorophyll concentration ... -
Reviewing and designing pre-processing units for RBF networks: initial structure identification and coarse-tuning of free parameters
Kayhan, Gokhan; Ozdemir, Ali Ekber; Eminoglu, Ilyas (Springer London Ltd, 2013)This paper reviews some frequently used methods to initialize an radial basis function (RBF) network and presents systematic design procedures for pre-processing unit(s) to initialize RBF network from available input-output ... -
Using Artificial Neural Network and Multiple Linear Regression for Predicting the Chlorophyll Concentration Index of Saint John's Wort Leaves
Odabas, Mehmet Serhat; Kayhan, Gokhan; Ergun, Erhan; Senyer, Nurettin (Taylor & Francis Inc, 2016)This research investigates and compares artificial neural network and multiple linear regression for predicting the chlorophyll concentration index of Saint John's wort leaves (Hypericum perforatum L.). Plants were fertilized ...