cassava

A CSV parsing and encoding library optimized for ease of use and high performance

🌱 Cassava leaf disease classification with CNNs and Transformers (top-1% Kaggle solution)

This is a PyTorch implementation of Kaggle's Cassava Disease Visual Classification challenge (5th place in private leaderboard)

Repository for the "Cassava Leaf Disease Classification" Kaggle competition.

AWS API Gateway Router

This website is a project for analysis of the Genomic Selection for Drought Tolerance Using Genome Wide GBS and/or DART in Cassava by EMBRAPA Mandioca.

This project documents informatics and genomic prediction to support the National Root Crop Research Institute 2021 cassava genomic selection breeding program.

Reproducible documentation: Wolfe et al. Genomic mating in outbred species: predicting cross usefulness with additive and total genetic covariance matrices

Nothing strengthens better your knowledge in Deep Learning than coding an actual model and application. Take the 5 week challenge with Robert, David and George and join us each Friday for a fun and engaging hands-on coding session using TensorFlow 🎉

Solution IA dédiée à la surveillance des cultures tropicales, permettant la détection automatique de la mosaïque du manioc et des dégâts causés par la chenille légionnaire d'automne sur le maïs grâce à la vision par ordinateur et à YOLOv11. — https://huggingface.co/kjd-dktech/agbledo01

The 3D Reconstruction project performs automated single-plant 3D reconstruction from stereo video data. The pipeline processes paired video inputs through 8 stages to generate a complete 3D mesh with phenotyping metrics.

Classify pictures of cassava leaves into 1 of 4 disease categories (or healthy)

I implement this repo for solving classification problem with Pytorch.

CassavaCare AI — > a mobile-first Flask + MobileNetV2 web app that classifies cassava leaf disease (Bacterial Blight, Mosaic Disease, Healthy) from a photo and gives farmers instant, confidence-aware diagnosis and management advice

Virus detection in Cassava BioProjects

Collection of scripts used in the process of creating and analysing the COL40 cassava assembly.

Este repositório contém scripts em R para automatizar o processo de inserção de ensaios de mandioca (Manihot esculenta) na plataforma CassavaBase, em colaboração com a EMBRAPA Mandioca e Fruticultura. O pipeline organiza, padroniza e gera arquivos de saída compatíveis com o sistema, incluindo ensaios, acessos e dados fenotípicos.

Este projeto visa explorar a diversidade genética da mandioca e identificar regiões específicas do DNA associadas ao tamanho dos grânulos de amido. Através de análises genômicas avançadas, buscamos obter insights sobre a relação entre a diversidade genética e características agronomicamente importantes na cultura da mandioca.

A lightweight CNN efficiency study for cassava leaf disease classification using controlled architecture and training-strategy ablations.