Expert System-Based Assessment for Vermicomposting Development
DOI:
https://doi.org/10.69478/BEST2025v1n2a030Keywords:
Vermicomposting, Expert System, Internet of ThingsAbstract
Poor vermibed conditions are one of the contributors to the degradation of vermicompost which includes nutrition imbalance, where the essential nutrients are not distributed evenly, like nitrogen, phosphorus, and potassium, which contribute to the healthy growth of plants. It is essential to monitor the environmental conditions of the vermibed to maintain high-quality vermicompost. However, lack of expertise, geographical limitations, and the complexity of environmental factors are a few of the challenges and burdens in manual vermibed assessment. This study explores the development of expert system-based assessment for vermicomposting to address these challenges by automating data analysis, reducing manual assessment burdens, and minimizing human error that can help our farmers to vermicompost successfully. By considering key environmental parameters such as temperature, moisture content, and pH level, this ensures that they can have consistent and objective evaluations, real-time insights for adjustments to the bed, and enhanced accessibility to expert-level assessments regardless of their location or resources.
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Copyright (c) 2025 John Mark E. Nacionales, Ma. Ydda M. Casuncad, Joshua N. Daquila, John Jowil D. Orquia, Ryan Ercel O. Paderes (Author)
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