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A model that predicts plant growth over time given crop-specific parameters and environmental data as input.
lang: C++
stars: 41
last activity:
Uses mixed integer linear programming techniques to provide a flexible interface for building and solving conservation planning problems.
lang: R
stars: 124
last activity:
Aims to make the data about trees in Great Britain more accessible and understandable, whilst still maintaining good industry practices.
lang: Jupyter Notebook
stars: 8
last activity:
A computer platform for ensemble forecasting of species distributions, enabling the treatment of a range of methodological uncertainties in models and the examination of species-environment relationships.
lang: R
stars: 86
last activity:
Provides structure data processing and management for photographs from aerial surveys in support of animal census efforts, combining machine learning and expertise to get to accurate animal counts as quickly as possible.
lang: JavaScript
stars: 8
last activity:
A web-based application for solving complex conservation scenarios using concepts of systematic conservation planning.
lang: R
stars: 8
last activity:
An map-first data collection platform built in collaboration with environmental non-profits and international organizations with the goal of driving sustainability impact at scale.
lang: Kotlin
stars: 256
last activity:
Deep learning tools that accelerate the review of motion-triggered wildlife camera images.
lang: Jupyter Notebook
stars: 845
last activity:
Provides functionality to access data from the European Tracking Network (ETN) database hosted by the Flanders Marine Institute (VLIZ) as part of the Flemish contribution to LifeWatch.
lang: R
stars: 6
last activity:
Plant phenotyping using computer vision.
lang: Python
stars: 658
last activity:
Fits single-species, multi-species, and integrated spatial occupancy models using Markov Chain Monte Carlo.
lang: R
stars: 59
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A biological collections data management platform.
lang: TypeScript
stars: 70
last activity:
Blends structured wildlife research with artificial intelligence, citizen science, and computer vision to speed population analysis and develop new insights to help fight extinction.
lang: Java
stars: 111
last activity:
Tools for analyzing changes in biodiversity across scales.
lang: R
stars: 23
last activity:
The Koster Seafloor Observatory is an open-source, citizen science and machine learning approach to analyse subsea movies.
lang: Python
stars: 6
last activity: