| Issue |
BIO Web Conf.
Volume 231, 2026
International Scientific Conference “Fundamental and Applied Scientific Research in the Development of Agriculture in the Far East and Remote Regions: Transforming Agri-Systems through Disruptive Innovation” (AFE-2025)
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|
|---|---|---|
| Article Number | 00016 | |
| Number of page(s) | 8 | |
| DOI | https://doi.org/10.1051/bioconf/202623100016 | |
| Published online | 10 April 2026 | |
Plant-based hydration monitoring for precision nitrogen and irrigation management of cotton under salinity stress
1 Bukhara State University, Bukhara, Uzbekistan
2 Karshi State University, Karshi, Uzbekistan
* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
Abstract
This study is part of a comprehensive research program examining the effects of nitrogen fertilization on cotton physiology and productivity under saline conditions, with parallel investigations focusing on plant growth, biomass accumulation, and yield components. This study investigates the combined effects of soil salinity and nitrogen fertilizer rates on the water-holding capacity of cotton (Gossypium spp.) leaves under soil salinity stress. Cotton, a key global crop, is affected by soil salinity and nitrogen imbalances, which hinder its growth and productivity. A precision agriculture framework was applied, treating each salinity-Nitrogen combination as a unique management zone. Water loss from cotton leaves was measured at three growth stages: the 3-4 true leaves stage, the budding stage, and the flowering stage. Results demonstrated that nitrogen application generally increased water loss from cotton leaves, with higher fertilizer rates leading to reduced water retention. At the flowering stage, water loss ranged from 22.0% to 35.6%, depending on the nitrogen rate and salinity level. Soil salinity significantly influenced leaf water retention, with cotton on strongly saline soils exhibiting lower water loss than plants on non-saline or weakly saline soils. These findings were used to develop a decision matrix linking real-time leaf hydration metrics (potential proxy for canopy temperature or spectral indices) with variable-rate nitrogen and irrigation prescriptions. The study validates the concept of using simple, plant-level physiological traits as inputs for sensor-driven precision management.
© The Authors, published by EDP Sciences, 2026
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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