The development of agricultural land use and permanent crop area across time in Portugal
This project analyzes Portugal's agro-environmental dataset, focusing on its agriculture sector. It aims to tell a coherent story by addressing questions and visualizing trends. The project explores changes in the ratio of permanent to temporary crop areas over time, the relationship between permanent crop area and agricultural labor force, and displays labor force development on a map of Portugal. The project includes a database, data analysis, a conclusion, and SQL/Python code.
PowerBI - Avocado, 2021
National and International Avocado Market (Exports/Imports/Average Prices)
Irrigation Tool
Decision Support tool for irrigation needs. Current weather & soil retrieved from open-meteo.com Endpoint: Retrieve weather data and soil state predictions from online api/Calculates soil tension (pF)/Creates the API to interact with enduser
Web Designing
Restaurant website devolped from scratch, using HTML, CSS, JavaScript and PHP.
Master's Thesis - Machine Learning Application in Irrigation Systems
Data-driven approach using machine learning to fill missing values from field sensors. Enhanced monitoring capabilities for HIDROSOPH company through an innovative AWS cloud-based data pipeline, significantly improving irrigation system reliability.
Hackathon Project - Summerberry
Hackathon project focused on developing an efficient data pipeline to predict next week's berry fruit productivity. Due to NDA restrictions, the developed ML model is not available for public access.
Clepsydra & Path4Med Projects
This repository tracks the development and progress of the
Clepsydra and Path4Med projects, conducted at the Instituto
Superior de Agronomia (ISA).
Both projects aim to
support climate-resilient farming practices, enhance water
quality monitoring, and promote the efficient use of resources
in vulnerable Mediterranean agro-hydrosystems by integrating
data-driven tools such as machine learning and geospatial
analysis.