XyloTron/XyloPhone Wood Identification System
The purpose of these tools is to identify different types of wood based on their cross-section. These tools will help industries follow laws and support law enforcement in meeting…
Forest disease detection and screening
To improve tree disease diagnosis and screening.
Use of LLMs for data extraction
The purpose of this model is to quickly gather information from scientific papers to track the spread of plant diseases.
Fire Resilient Landscapes
Assists in planning treatments to reduce wildfire risk and calculate treatment costs
Spread and Balance Sample Design
The purpose of this tool is to produce samples that are well spread and balanced, reducing sampling cost and error.
Regression, Classification, Clustering with Hilbert Curves
Implementation of many machine learning techniques into applied research
The Big Data, Mapping, and Analytics Platform (BIGMAP) Project
To produce maps of various characteristics of US forests at all locations, based on field plots measured by the US Forest Service Forest Inventory and Analysis (FIA) program only…
Wildlife Deterrent System
The purpose of the AI device is to keep coyotes out of a fenced area by blocking their entry through a gap in the fence, while still allowing other wildlife to pass through.
Markov random fields for mixed forests
A level of uncertainty can exist in model predictions and sometimes that level of uncertainty is incorrectly assessed, leading to less effective decision-making when based on the…
IOL Focus Group and Survey Sensemaking
Processing and interpretation of questionnaires and transcripts can be slow and tedious. Using Google NotebookLM can improve the process.
Esri ArcGIS Pro Deep Learning Modules
Object detection from aerial images
Zen AI Image Analysis
Automated AI image analysis tool for screening and detection methods to increase efficiency and reduce human error in sterile insect technique programs.
Plum Island handwriting and text extraction from scanned pdfs
To reduce manual intervention and automate searchability of Plum Island lab manuals and scientific documents.
NWRC ND Field Station Birds and Agriculture Project
Use machine learning to detect, classify, and count birds damaging crops. Systems allowed to selectively deploy tools to disrupt bird activity.
NWRC LSS Bioinformatic Coding
Troubleshoot code used in analysis
NWRC Rabies ML A.D.
Speeding up the processing and identification of species within trail camera images. Improving the ability to answer management questions.
NWRC Rabies ML M.H.
Speeding up the processing and analysis of large genomic datasets to track diseased animals, which helps inform managers the best course of action for emergency response and inter…
NWRC Pepin ML & AI
Analyze simulation data from computational models; staff burden of processing screen trail camera photos
NWRC Genetics Metadata
Assist with data processing, convert data to standard format for publication, infer origin populations
Digital Soil Mapping
The purpose of this project is to implement new soil map products at local, regional, and national scales to provide more explicit soil information than traditional soil mapping p…
Forest based and boosted classification and regression methods
Determining which features of a forest best indicate species presence and amount
MaxEnt/ENMeval models of habitat suitability
Predict species habitat under current and future conditions
Species Distribution Data analysis
Machine learning models built for predicting and understanding species distributions and ranges for thousands of different species.
A wetland-based habitat suitability model for Spotted Turtles in West Virginia
Classifying environmental suitability of wetlands for a species of turtle.