|
|||||
|
|
Comparision of some models for estimation of reflectance of hypericum leaves under stress conditions |
|
| Authors: | Kadir Ersin Temizel Mehmet Serhat Odabas Nurettin Senyer Gokhan Kayhan Sreekala Gopalapillai Bajwa Omer Caliskan Erhan Ergun |
| Institution: | 1. Faculty of Agriculture, Department of Farm Structures and Irrigation, Ondokuz Mayis University, Samsun, Turkey 2. Bafra Vocational School, Ondokuz Mayis University, Bafra, Samsun, Turkey 3. Faculty of Engineering, Department of Computer Engineering, Ondokuz Mayis University, Samsun, Turkey 4. Agricultural and Biosystems Engineering, North Dakota State University, Fargo, ND, USA |
| Abstract: | 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 reflectance of Saint John’s wort leaves (Hypericum perforatum L.) under stress conditions (water and salt stress) by multiple linear regression (MLR), artificial neural network (ANN) and adaptive neuro-fuzzy inference system (ANFIS). Empirical and heuristics modeling methods were employed in this study to relate stress conditions to leaf reflectance. It was found that the constructed ANN model exhibited a high performance than multiple regression and ANFIS in estimating leaf reflectance accurately. |
| Keywords: | |
| 本文献已被 SpringerLink 等数据库收录！ | |