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Drying, Debinding, and Microstructural Characterization of Green Bodies
Published in Mohamed N. Rahaman, Ceramic Processing, 2017
The concept of moisture stress (or moisture potential) has been introduced as a global parameter for studying moisture movement and other physical properties during drying of clays [18]. Moisture stress is defined as the work done by the water per unit mass of water when a small quantity of water is transported from the clay–water system to a free water surface at the same temperature and height as the clay. Thermodynamically, it is the partial Gibbs free energy of a liquid in a porous medium, and is given by:
Use of infrared thermography and hyperspectral data to detect effects of water stress on pepper
Published in Quantitative InfraRed Thermography Journal, 2018
Gokhan Camoglu, Kursad Demirel, Levent Genc
Studies conducted on different plants species also reported a significant relationship between ChlR/RWC and spectral/thermal indices. Fernandez et al. [34] studied that effect of nitrogen fertilisation and water stress on the spectral data of winter wheat and they reported that SR indices could be used in estimating chlorophyll content. Camoglu et al. [18] reported that remotely sensed spectral indices can be used to determine RWC as an indicator of water stress in olive seedlings. Camoglu and Genc [22] indicated that the combined use of both thermal and spectral indices is more appropriate for estimating RWC and ChlR of green bean. The results obtained from different plant that study are similar to those of our study. A study by Ullah et al. [35] on eleven different plant species found that the potential for predicting leaf water content using shortwave infrared (SWIR) (R2 = 0.91) and mid infrared (MIR) (R2 = 0.96) was higher than thermal infrared (TIR) (R2 = 0.67). Furthermore, they stated that the SWIR and MIR proved highly sensitive spectral regions and held promise for the estimation of leaf water content. Ramoelo et al. [36] indicated that in different plant species, spectral indices such as the moisture stress index (MSI), normalised difference water index (NDWI), and the water index (WI) calculated at leaf level, predicted more than 70% of leaf water potential. Garcia-Tejero et al. [37] reported that thermal data was a promising tool to estimate physiological traits such as the plant water status and stomatal conductance.