arXiv:2608. 04023v1 Announce Type: cross Abstract: Sri Lanka's fisheries sector is important for jobs and food supply.
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arXiv:2606. 29248v1 Announce Type: new Abstract: Vegetable prices in Sri Lanka are highly volatile because the market is largely import-isolated, so supply disruptions quickly drive prices up.
The study investigates how local weather conditions influence price dynamics in Sri Lankan tea markets by creating a structured dataset from 105 weekly broker reports and regional weather data. Using Granger causality and tree‑based machine learning models, the authors find that market forces dominate but weather—especially precipitation and sunshine for Low Grown tea, and temperature for Off‑Grade and Dust—significantly affects prices with notable lag effects. Catalogue‑specific models, particularly LightGBM, outperform unified approaches, underscoring the value of tailored forecasting.
arXiv:2606. 28190v1 Announce Type: cross Abstract: This study analyzes Sri Lankan migration and remittances over 32 years (1994-2025).
arXiv:2608. 09846v1 Announce Type: new Abstract: This paper presents a methodological framework for real-time climate risk assessment using data-driven nowcasting techniques to enhance supply chain resilience in Colombian agricultural contexts.
arXiv:2609.24394v1 Announce Type: new Abstract: Climate variability influences whether a market disruption escalates into a food crisis, yet broad climate patterns like El Ni\~no, tracked months befo...
arXiv:2607. 27152v1 Announce Type: new Abstract: Accurate intraday forecasts of offshore wind are becoming increasingly important for power system operation and the integration of growing shares of offshore wind energy.