About
João Leonardi
Computer Vision Research Center, iCEV, Teresina, Brazil
I am a Software Engineering student at iCEV, currently in my eighth semester, with expected graduation in January 2027. I am based in José de Freitas, Piauí, Brazil, and have three years of professional experience in software development and artificial intelligence.
My work includes machine learning and deep learning models, computer vision systems, and data analysis applications. I also develop firmware and embedded controls, integrating sensors, actuators, and AI models in AIoT and robotics projects.
I am an undergraduate research student at UTFPR and iCEV and a student researcher at UFPI. My work includes remote sensing for agricultural crop classification, embedded systems for precision agriculture, and simulation of low-cost hyperspectral sensors for UAVs.
This notebook collects publications on projects, research, and technical notes. The topics center on computer vision, machine learning, and vegetation spectroscopy, with records of experiments and intermediate results.
Areas of study
- Computer Vision — Segmentation, detection, image representation, and vision models.
- Machine Learning — Model training, evaluation, and analysis.
- Spectroscopy — Vegetation spectroscopy, reflectance, and sensor simulation.
- Remote Sensing — Remote sensing, image processing, and data analysis.
- Robotics — Robotics, automation, and control systems.
Experience
Academic research
Formation & affiliation
Research lines
Oct 2025 – Present
Development of remote sensing methods for Earth observation
UTFPR — Universidade Tecnológica Federal do Paraná · Toledo, Paraná
Oct 2025 – Present
Land-cover and crop classification
Development and evaluation of classification methods using Sentinel-2 time series, spectral-temporal descriptors, and MapBiomas reference labels. GeoSense investigates agricultural rotations with spatial block validation and temporal consistency checks against grower calendars; agreement with MapBiomas is distinguished from independent field validation.
Present
Microwave sensing for soil analysis
Development of a low-cost experimental system at 5.8 GHz, adapting commercial FPV radio modules and integrating electronic instrumentation, digital signal processing, and regression models. The initial objective is to estimate soil moisture from received signal strength (RSSI), accounting for antenna spacing, experimental geometry, and material properties. Experimental validation is a research objective; the current firmware acquires RSSI voltage rather than calibrated RF power.
Present
Remote sensing of human occupation and landscape use in Amazonia
Investigation of spatial and temporal patterns compatible with human landscape use in the Mamoriá Grande Indigenous Territory and its surroundings, using satellite time series and independent references. Environmental indicators are exploratory; attribution to human use remains subject to validation.
Feb 2025 – Present
Development of embedded sensing and autonomous systems for precision agriculture
PAVIC — Laboratory for Advanced Research in Computer Vision and Computational Intelligence, UFPI · Teresina, Piauí
Present
Embedded systems for precision agriculture
Research and development of embedded systems integrating sensors, hardware, and computational methods for agricultural applications.
Present
Autonomous flight algorithms for drones
Development of autonomous flight algorithms for drone platforms used in precision agriculture.
Present
Low-cost hyperspectral and multispectral imaging sensors
Design and development of low-cost sensors for hyperspectral and multispectral imaging, including their integration with embedded acquisition systems.
Present
Applications across the agro-industrial value chain
Contributions to research and development projects that apply sensing and computational systems across the agro-industrial value chain.
Research projects
Recent publication
Classificação Automática de Cobertura de Solo com Séries Temporais do Sentinel-2 e do MapBiomas. Presented at the XLIV Brazilian Symposium on Telecommunications and Signal Processing (SBrT 2026).
How to cite this notebook
Prefer citing individual notes via the Cite this button on each post (BibTeX, APA, or RIS). To cite the notebook as a whole:
@misc{scixiv,
title = {Scixiv: Research notebook by João Leonardi},
author = {João Leonardi},
year = {2026},
howpublished = {Research notebook},
url = {https://rexionmars.space}
}APA: João Leonardi (2026). Scixiv: Research notebook by João Leonardi. https://rexionmars.space