This repository contains a preliminary jupyter notebook and sample data to create Management Zones in a context of precision agriculture.

This project aims to build a software that can download Sentinel-2 satellite images in batch for data analysis.

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.

A simple console app that will take bitmaps for spectral band 3 and band 4 and generate a NDVI image

Geoinformation web application for precision agriculture

Aplicação construída em React + FastAPI que oferece serviços de agricultura de precisão para pequenos produtores que fazem uso de estações meteorológicas disponibilizadas na plataforma. Desenvolvido ao lado de https://github.com/DavCarvalho.

A python script to apply VARI,GLI and VIGREEN vegetation indexes in a set of user defined images

See: https://jaramilloh.github.io/GPC-3D-figures/ for 3D models programmed with https://threejs.org/

Improved weed segmentation in UAV imagery of sorghum fields with a combined deblurring segmentation model

Proyek Penelitian Tugas Akhir S1 Teknik Elektro UIN SGD Bandung untuk Proyek Penelitian Capstone kolaborasi KR Sistem Instrumentasi Cerdas PRMC BRIN dengan Fakultas Pertanian Unpad yang Didanai oleh RIIM LPDP 2024

PGIA7336 Course - Discrete Event System - Supervisory Control Theory with the Heptagon/BZR compiler.

Arduino firmware for OpenVRT communication.

Second project for Big Data course held at Roma Tre University

Austral Falcon Deep Learning repository

A web app based on classification algorithm (KNN) which recommends the best suitable crop using the soil nutritional data and weather data. The model has 99.96% accuracy and it is very beneficial for farmers to make more informed decision about which crop to grow.

Django backend responsible for exposing authentication and data proxy APIs

This repository contains all the work that had been done in ONE LAB Egypt project 'Descriptive analysis on PA using ML'.

Embedded Systems Course Project

R scripts for predicting soil organic carbon using soil spectral library from visible, near-infrared and shortwave-infrared (VNIR) and middle-infrared (MIR) using LASSO and PLS regression methods and the target-oriented cross-validation strategy.