Article detail · 2014
Comparision of some models for estimation of reflectance of hypericum leaves under stress conditions
Central European Journal of Biology
- Year
- 2014
- ISSN
2391-5412- Type
- article
Data source split
- YÖKSİS YÖKSİS article record
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Abstract
English (OpenAlex)
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.
Topics
- Leaf Properties and Growth Measurement
- Remote Sensing in Agriculture
- Greenhouse Technology and Climate Control
Primary topic Leaf Properties and Growth Measurement