Articles
Algorithmic pointing of the right moment of watering
Article number
1433_2
Pages
11 – 18
Language
English
Abstract
In the domain of agricultural and horticultural practices, the management of water resources holds significant ecological implications, particularly in relation to the preservation of aquatic sources.
The efficacy of sustainable irrigation practices is contingent upon the method of application, the timing, and the frequency of water application.
The present study articulates two primary hypotheses: firstly, that the optimal timing for irrigation can be determined by monitoring the physiological status of the plant (specifically, whether the plant maintains turgidity) in conjunction with the combined mass of the plant and its substrate; secondly, that the precise timing for irrigation can be calculated through the analysis of plant mass data.
Utilizing a computational system to ascertain the optimal irrigation timing – specifically, immediately prior to the onset of turgor loss – resulted in a reduction of water consumption by approximately 30% compared to conventional irrigation practices.
Moreover, the implementation of controlled irrigation had a discernible impact on various growth parameters of the plant, including the concentrations of chlorophyll a and b, carotenoids, as well as the levels of total and reducing sugars.
Plants subjected to controlled irrigation exhibited a more compact morphology in contrast to those irrigated via traditional methods.
The findings unequivocally demonstrate that the employment of a scale-based monitoring system, integrated with computational analysis, not only conserves water resources in irrigation practices but also does so without compromising the growth parameters of the plants.
The efficacy of sustainable irrigation practices is contingent upon the method of application, the timing, and the frequency of water application.
The present study articulates two primary hypotheses: firstly, that the optimal timing for irrigation can be determined by monitoring the physiological status of the plant (specifically, whether the plant maintains turgidity) in conjunction with the combined mass of the plant and its substrate; secondly, that the precise timing for irrigation can be calculated through the analysis of plant mass data.
Utilizing a computational system to ascertain the optimal irrigation timing – specifically, immediately prior to the onset of turgor loss – resulted in a reduction of water consumption by approximately 30% compared to conventional irrigation practices.
Moreover, the implementation of controlled irrigation had a discernible impact on various growth parameters of the plant, including the concentrations of chlorophyll a and b, carotenoids, as well as the levels of total and reducing sugars.
Plants subjected to controlled irrigation exhibited a more compact morphology in contrast to those irrigated via traditional methods.
The findings unequivocally demonstrate that the employment of a scale-based monitoring system, integrated with computational analysis, not only conserves water resources in irrigation practices but also does so without compromising the growth parameters of the plants.
Authors
A. Jedrzejuk, M. Bator, R. Budzynski
Keywords
drought stress, water deficit, water use efficiency, plant adaptation, remote mass sensing
Online Articles (41)