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@article{186313,
        author = {Dr.Ganesh Gorakhnath Taware and Ms.Jedhe Shital Avinash},
        title = {Review on AI-Based Recognition of Earthworm Health and Vermicompost Quality Assessment},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {6},
        pages = {442-456},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=186313},
        abstract = {Earthworms being one of the essential bioindicators of soil fertility and overall ecosystem health, have made a significant impact on the organic waste decomposition process and nutrient recycling through vermicomposting. The conventional methods for measuring earthworm vitality and compost quality are primarily based on manual observation and laboratory analysis, which are time-consuming, subjective, and inefficient for large-scale or real-time monitoring. To a large extent, the breakthroughs in Artificial Intelligence (AI) in computer vision, deep learning, and IoT-based sensing have facilitated the development of automated systems for health detection, movement pattern recognition, and vermicompost quality evaluation. This review presents a systematic assessment of AI-driven techniques for recognizing earthworm health and assessing vermicompost quality. It signifies the contribution of image-based classification, sensor data analytics, and predictive modeling to the monitoring of morphological, behavioral, and physicochemical parameters. This research also explores the availability of datasets, algorithmic frameworks, and hybrid models that integrate AI with the IoT and spectral analysis. Ultimately, it discusses issues such as data scarcity, model interpretability, and system scalability, in addition to outlining future research directions for sustainable, automated vermicomposting systems that utilize AI.},
        keywords = {Earthworm health, vermicompost quality, Artificial Intelligence, Deep learning, computer vision, smart agriculture, Internet of Things},
        month = {November},
        }