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Carbon neutrality is one of the most urgent global missions and has promoted the development of clean and renewable energy sources. Sustainable photovoltaic cells have become ideal candidates for green energy harvesting owing to their high power conversion efficiencies and low production costs, which can efficiently reduce the carbon emissions. In recent years, with the increasing advancements in wearable electronics, flexible photovoltaic textile devices have been regarded as the most promising energy resources for Internet of Things. Accordingly, herein, an up‐to‐date account of the recent advancements in modern textile‐based solar cells (i.e., organic, perovskite, and dye‐sensitized solar cells) based on both fibers and fabrics for highly effective harvesting of solar energy is provided, and their fundamental designs and optimization strategies are comprehensively reviewed. This review emphasizes the unique characteristics, underlying mechanisms and potential applications of textile‐based solar cells. Moreover, a modern perspective on both challenges and opportunities in the advancements of the interesting textile‐based solar cells embedded in wearable devices is elucidated. This review offers new insights into advanced energy technologies and smart wearable devices that would facilitate multidisciplinary integration of basic science, device engineering, industrial applications, and other scientific domains.

In this chapter, chlorophyll fluorescence in plant leaves of three genotypes of cotton cultivated in Uzbekistan and characterized at different degrees of drought tolerance is studied. The light and CO responses of the chlorophyll fluorescence and the photosynthesis and possible mechanisms of adaptation of plants to moderate long-term drought are described. The chlorophyll fluorescence and various morpho-physiological indicators of well-watered and moderately drought-stressed cotton plants have been measured simultaneously over a long period of plant ontogenesis to establish direct correlations between them to estimate the magnitude of drought effect using fluorescence parameters. It is shown that determination of such correlations and their calibration by photoacoustic signals generated in plant leaves at application of lowfrequency-modulated light may be used for monitoring of the drought tolerance of crops in the field.

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