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A model that predicts plant growth over time given crop-specific parameters and environmental data as input.
lang: C++
stars: 52
last activity:
A R client for the World Register of Marine Species.
lang: R
stars: 28
last activity:
Plant phenotyping using computer vision.
lang: Python
stars: 839
last activity:
Python Package for Tree Crown Detection in Airborne RGB imagery.
lang: Python
stars: 788
last activity:
Fits single-species, multi-species, and integrated spatial occupancy models using Markov Chain Monte Carlo.
lang: R
stars: 77
last activity:
A package built to enable interoperability and scalability in ocean sonar data processing.
lang: Python
stars: 143
last activity:
Measures, tracks, and rewards the impact on gardens with a simple Progressive Web App.
lang: TypeScript
stars: 22
last activity:
Provides a set of high-level functions for conducting ecological network analysis.
lang: HTML
stars: 26
last activity:
A philanthropically funded system to help people manage their local marine ecosystems in the face of increasing Ocean temperatures.
lang: TypeScript
stars: 50
last activity:
Realtime BirdNET soundscape analyzer.
lang: Go
stars: 2.4K
last activity:
Coordinates the digital capture of tree growth data in the field, allowing to establish employment for people living in extreme poverty based on tree planting.
lang: Kotlin
stars: 102
last activity:
Enables quantitative analysis of environmental audio, offering tools for processing, segmenting, and computing acoustic features.
lang: Python
stars: 140
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: 129
last activity:
Automatic tree crown delineation based on the Detectron2 implementation of Mask R-CNN.
lang: Python
stars: 270
last activity:
Wildfire Predictive Services to support decision making in prevention, preparedness, response and recovery.
lang: Python
stars: 68
last activity: