Water hyacinth (Eichhornia crassipes) is simultaneously an invasive aquatic burden and a potentially valuable lignocellulosic feedstock for agricultural materials. This review critically evaluates its material potential through a structured synthesis of 51 studies supplied in the source corpus, spanning direct water-hyacinth evidence and transferable findings from agricultural residues, biochars, cellulose derivatives, hydrogels, films, composites, adsorbents, and thermal-storage systems published mainly during 2021-2026. The evidence is organized around feedstock variability, physical architecture, chemical composition, thermal conversion, and application-specific structure–property relationships. Direct evidence confirms that water-hyacinth biochar can reduce thermal conductivity and volumetric heat capacity in soil blends, but the corpus lacks standardized datasets for untreated plant fractions, seasonal composition, contaminant burdens, and long-term field performance. Cross-biomass studies show that alkali treatment, bleaching, hydrolysis, silane modification, pyrolysis, activation, and hybridization can convert low-density plant tissue into cellulose fillers, nanocellulose, porous carbon, controlled-release matrices, insulation products, and functional coatings. The synthesis indicates that water hyacinth is most credible as a locally processed feedstock for biochar-based soil systems, sorbents, water-retentive composites, biodegradable films, low-load panels, and thermal-management components. Its high moisture burden, hydrophilicity, heterogeneous ash and mineral content, and potential accumulation of pollutants remain decisive constraints. A design framework is proposed that links plant fraction, pretreatment severity, porosity, surface chemistry, crystallinity, and thermal stability to agricultural function. Future progress requires fraction-specific characterization, contaminant-safe harvesting, low-energy dewatering, benchmarked life-cycle assessment, release and leaching tests, field validation, and standards that distinguish direct water-hyacinth data from analogical inference for circular and climate-resilient agricultural production systems.
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