| Autor: |
Koichi Unami, M. Yamaguchi, E.J. Magero, Osama Mohawesh, Masayuki Fujihara |
| Rok vydání: |
2020 |
| Předmět: |
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| Zdroj: |
Supplementary 6. 4:60-63 |
| ISSN: |
2550-2166 |
| DOI: |
10.26656/fr.2017.4(s6).009 |
| Popis: |
Scientific analysis of plant growth helps in improving the efficiency of cultivation practices through optimization of their environmental conditions. The ultimate aim of this research was to derive an optimal policy for better growth of date palms by considering its dynamical response to environmental parameters such as solar radiation, soil moisture, and temperature. Field experiments were conducted at an irrigation scheme located in the Jordan Rift Valley. A drip irrigation system is installed to water ten trees of date palms either with fresh or saline water depending on the soil matric potential. The circumference of the trunk of a tree was measured using a dendrometer at 30 mins interval and recorded in a data logger. Environmental parameters including the soil matric potential, solar radiation, and soil temperature were also logged every 30 mins. This study focused on determining a nonlinear model representing the growth dynamics of the date palm tree responding to those environmental parameters. The linear regression was applied to estimate the kernel coefficients of discrete Volterra series modeling the time series. The non-linearity of the model is expected to explain diurnal shrinkage and swelling of the tree trunk under different environmental conditions. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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