An environmental monitoring and regulation system
Bookbased mushroom data set, describing physical characteristics, binary classification in poisonous or edible.
3D pose estimation of mushrooms from pointcloud - trained on synthetic data
mushrooms_firmware contains the firmware of an arduino-based project to handle autopmatically environments in which mushrooms grow.
MeteoShrooms calculates key metrics to predict mushroom occurences with MeteoSwiss OGD and visualize them on a dashboard with a map.
Mushroom identification using deep learning.
Interactive ML web application will allow users to choose classification algorithm, let them interactively set hyper-parameter values, and Input Image.
A full-stack machine learning application built with Python and Flask that classifies mushroom species to support safe foraging.
4-column Plex dashboard for Home Assistant with rich now-playing metadata, auto client cards, server stats, recently added, and Sonarr/Radarr coming-soon. HACS-installable theme included.
Using decision trees to classify mushrooms as either edible or poisonous
Home Assistant integration for the Lykyn Smart Mushroom Grow Kit - reverse-engineered cloud protocol (Socket.io + REST API)
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