Python Autoctone-botanic-species Resources

Invasive_Plant_Species_Identification Used LiDAR Odometry and Mapping (LOAM) to create a 3D point cloud map which can be used to identify invasive pla

This project is related to a No-SQL database, whose data are referred to autoctone botanic species. The final goal is creating a function that performs the estimation of the ornamental value, given the specific characteristics of a single species.

To design and implement the Identification of Iris Flower species using machine learning using Python and the tool Scikit-Learn.

Iris Species Predictor Iris prediction is used to classify iris species using their sepal length, sepal width, petal length and petal width created us

Penguin Species Prediction (ML) 🐧 👨🏽‍💻 What? 💻 This project is a basic model using sklearn methods to predict Penguin species based on beak size

Modified prey-predator system We aim to study the behaviors of the modified prey–predator model and establish the effects of several parameters that p

HydDown Hydrogen (or other pure gas phase species) depressurization calculations This code is published under an MIT license. Install as simple as: pi

BotGard 3.0 Open Source Management System for Botanic Garden Collections built and maintained by netzkolchose.de in cooperation with the Botanical Gar

Penguins Classification App Penguins species predictor app is used to classify penguins species using their island, sex, bill length (mm), bill depth

Agroforestry Species Switchboard 2.0 Scraper Scrape plants scientific name information from Species Switchboard 2.0. Requirements python = 3.10 (you

Iris Species Predictor Iris species predictor app is used to classify iris species using their sepal length, sepal width, petal length and petal width

The goal is to classify different birds species based on their songs/calls. Spectrograms have been extracted from the audio samples and used as features for classification.