Best AI tools for< Forestry Consultant >

The Human-Centred Artificial Intelligence Lab (Holzinger Group) is a research group focused on developing AI solutions that are explainable, trustworthy, and aligned with human values, ethical principles, and legal requirements. The lab works on projects related to machine learning, digital pathology, interactive machine learning, and more. Their mission is to combine human and computer intelligence to address pressing problems in various domains such as forestry, health informatics, and cyber-physical systems. The lab emphasizes the importance of explainable AI, human-in-the-loop interactions, and the synergy between human and machine intelligence.

Polymath Robotics is a company that offers autonomous navigation solutions for industrial vehicles. Their technology allows for the easy integration of autonomous navigation systems into various types of industrial vehicles, such as agricultural vehicles, mining equipment, and forestry equipment. By using Polymath's system, users can focus on developing meaningful tasks for their vehicles while skipping the manual labor of pedal-pushing. The company prides itself on providing a vehicle-agnostic and compute-agnostic solution that is compatible with most sensors and can be controlled via API. Polymath Robotics aims to simplify the process of adding autonomy to industrial vehicles, enabling users to build behaviors in their preferred coding language without the need for complex frameworks like ROS.

MegaDetector is an AI model that identifies animals, people, and vehicles in camera trap images (which also makes it useful for eliminating blank images). This model is trained on several million images from a variety of ecosystems. MegaDetector is just one of many tools that aims to make conservation biologists more efficient with AI. If you want to learn about other ways to use AI to accelerate camera trap workflows, check out our of the field, affectionately titled "Everything I know about machine learning and camera traps".

finagg is a Python package that provides implementations of popular and free financial APIs, tools for aggregating historical data from those APIs into SQL databases, and tools for transforming aggregated data into features useful for analysis and AI/ML. It offers documentation, installation instructions, and basic usage examples for exploring various financial APIs and features. Users can install recommended datasets from 3rd party APIs into a local SQL database, access Bureau of Economic Analysis (BEA) data, Federal Reserve Economic Data (FRED), Securities and Exchange Commission (SEC) filings, and more. The package also allows users to explore raw data features, install refined data features, and perform refined aggregations of raw data. Configuration options for API keys, user agents, and data locations are provided, along with information on dependencies and related projects.

Expert in LAStools with in-depth command line knowledge.

Un assistant sur les règlementations débroussaillage et zone naturelles en France

Exactly like ChatGPT, except 100% of the revenue received from OpenAI is used for tree planting and restoration projects (through Our Forest)!

Ecological Advisor with advanced data and image analysis, creating detailed reports. This AI aims to assist in the fight against global warming.

Experto en herramientas forestales, especialmente Husqvarna.

A botanical expert on pine trees, offering informative insights.

Informative guide on wood types, focusing on real-life applications.