Python library for AI-driven agricultural zoning with ISO 42001 compliance.

DroneUI is a Python-based system that allows farmers to manually control a DJI Tello EDU drone, capture video of tomato crops, and automatically detect signs of leaf disease using a custom-trained YOLOv11 model. It features a user-friendly interface built with PyQt6 and generates detailed flight reports with visual and statistical summaries.

Software de processamento de laudos de análise de solo voltado para a cultura da soja a partir do manual de adubação e calagem para os estados do RS e SC de 2016

Computer Vision pipeline designed for precision agriculture applications, featuring automated dataset processing, advanced data augmentation, hyperparameter optimization, and edge-optimized model deployment for real-time crop and weed detection.

🔍 Generate realistic synthetic datasets for diverse business sectors using the leblanc Python library, perfect for training and analysis.

CropMap is a web-based image processing system designed to generate color-coded NDVI and OSAVI maps for precision agriculture.

Detection models and Python scripts for insect detection on yellow sticky traps.

UPAO's Embedded Systems Course Project

The SCARECRO (Sensor Collection and Remote Environment Care Reasoning Operation) documentation and source code files for integrating a variety of off-the-shelf IoT sensors into a broader collection, storage, and visualization framework.

Research-project: IoT-integrated precision irrigation combining automated sensors, intercropping, and gravity-drip systems. Validated 36.9% water savings through laboratory experimentation and mathematical modeling.

A Python package for digital agriculture in vineyard-related activities

This project is a complete web application built to help farmers efficiently manage their dairy and poultry farms. It provides tools and insights that enable data-driven decision-making to improve operations and business outcomes.

A scalable, open-source environmental control system using Arduino and Python for precision automated indoor farming.

Modular AWS pipeline for ingesting .xlsx reports to the Glue Data Catalog—ideal for agriculture, ops, or field data workflows.

Herramienta de ML offline para cultivos regados en Guatrache. Sin internet, sin datos externos, con respeto a la autonomía menonita.

A backend server built using FastAPI

Austral Falcon Deep Learning repository

Django backend responsible for exposing authentication and data proxy APIs

I worked on a precision agriculture project in which we used various sensors to save agricultural data(temperature,humidity,soil moisture,pH). In this repository , I have included 2 databases which contain the realtime and modified values. The two python codes are for modifying the database and visualizing the results respectively.