A curated list of tools, platforms, datasets, and resources for agricultural data and analytics.
Machine Learning for agricultural data analysis, comparing Linear Regression and Decision Tree models to improve decision-making in precision agriculture.
An interactive marimo web app that transforms 15 years of Philippine sugar industry reports into downloadable visualizations.
Portfolio of Data Science projects adapted from Data Science Academy postgraduate coursework, applied to spatial, agronomic, geographic, demographic and agropastoral domains.
PAAL Server that listens to a folder for dropped .csv files from AI model, assigns a thread to parse, and writes the read data into MongoDB Database.
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