Browsing by Author "Godfrri Croos, N"

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    AgriSense: An IoT-Integrated Crop Recommendation and Price Forecasting System Using Machine Learning
    (Sri Lanka Institute of Information Technology, 2025-12) Godfrri Croos, N
    Sri Lankan smallholders make planting and selling decisions in the presence of shifting monsoon patterns and volatile local markets. AgriSense is an end-to-end system that integrates a low-cost IoT field device with cloud-based machine learning to support both crop selection and price planning. The device collects plot-level measurements of soil chemistry and condition, together with ambient data and location, and streams these to a backend designed to tolerate intermittent rural connectivity. In the cloud, a supervised crop-recommendation model trained on a soil feature set produces a ranked shortlist of suitable crops with calibrated probabilities.