sugarcane

Highly optimized Purpur fork focusing on stability and performance.

Final Year Project (Sugarcane disease detector)

Detecção de linhas de plantio em plantações de cana-de-açúcar utilizando deep learning

This project performs a focused Exploratory Data Analysis (EDA) on a dataset of global sugarcane production statistics — examining how production volume, cultivated acreage, and yield efficiency vary across countries and continents.

Symptom-based crop disease predictor + agricultural analytics dashboard for wheat, cotton, and sugarcane. Built with Flask and Pandas, with a visual symptom library and yield/production trend charts. Lightweight - no camera, no image upload, works on low-bandwidth connections.

Repositório dedicado à análise de dados, utilizando a biblioteca Pandas em Python. Inclui exemplos práticos de limpeza, transformação, exploração e visualização de dados aplicados a diferentes cenários de analytics.

Pilot solution for São Paulo sugar-cane mills: watches satellite fire data, warns teams by email, helping cut field losses. Created by mentee Celio Vieira as his final month project.

🌱 💧 🌾 SuperWheat plugin for CraftBukkit/Spigot

sugarcane transcriptome

Modelagem dos dados da cana-de-açúcar no Brasil, utilizando informações públicas da Produção Agrícola Municipal (PAM) disponíveis no banco SIDRA do IBGE. O repositório contém a estrutura do modelo relacional, documentação, Dicionário de Dados e scripts SQL necessários para análise territorial e produtiva dessa cultura.

Developing optimal design

About PhysioFlow — Open-source interactive Streamlit platform for crop ecophysiology… python streamlit ecophysiology crop-physiology plant-physiology soybean sugarcane …

Automatic chlorophyll content estimation for sugarcane monitoring

A Python-based data analysis project exploring sugarcane production across countries. The project includes data cleaning, exploratory analysis, visualizations using Seaborn and Matplotlib, and correlation analysis to uncover patterns and insights in the dataset.

Project developed as part of the Artificial Intelligence undergraduate program at FIAP, featuring a Streamlit web app for registering and analyzing sugarcane harvest data, including productivity, losses, and monetary impact.

Cad designs and documentation for a Sugarcane Juice Extractor machine.

Design of a machine for use the sugar cane harvest residue ( in high pressure steam generators )

Source code for the analysis submitted to the Brazilian Bioenergy Science and Technology Conference (BBEST 2017). Abstract in folder 'publications'.