Tagging the world
One tree at a time
We believe that technology can save the world.
Technology that understands more than its creators.
Products that bring clarity from clutter.
Experiences that inspire calm in the face of chaos.
AI For Trees was founded on the principle that we all deserve nature.
VERIFIED BY
Data-Driven Forests
Tree mortality rates can range between 10% and 40% during the early stages of tree growth. This high mortality rate can be attributed to several factors, including human error, which can significantly impact the survival and establishment of young trees.
Planting Technique
Inexperienced or improperly trained tree planters may not follow best practices for planting trees, such as ensuring adequate spacing, planting depth, and root positioning. Poor planting techniques can hinder root development, impede water uptake, and ultimately lead to tree mortality.
Inadequate Watering
During the early stages of tree growth, consistent and appropriate watering is critical for survival. Human error in watering, such as overwatering or underwatering, can cause stress to young trees, making them more susceptible to disease and death.
Suboptimal Seedling Selection
Human error in seedling selection may result in planting trees that are not suitable for the specific site or environmental conditions. This can lead to increased mortality rates, as the seedlings struggle to adapt and grow in their new environment.
Poor Soil Preparation and Management
Inadequate soil preparation and management can also contribute to high mortality rates among young trees. Human error in soil preparation, such as failing to remove competing vegetation, insufficiently amending the soil, or not addressing drainage issues, can negatively impact tree growth and survival.
Ineffective Pest and Disease Management
In the early stages of tree growth, young trees are more vulnerable to pests and diseases. Human error in pest and disease management, such as incorrect identification, treatment, or prevention methods, can lead to increased tree mortality.
High costs and inaccuracies in traditional monitoring
Conventional tree monitoring methods involve labor-intensive, costly processes with significant inaccuracies in estimating tree populations and growth rates, hindering effective forest management and conservation efforts.
The Problem
10%-40% Mortality Rate
The first few years of a tree's life they are most vulnerable. Up to 40% of all trees planted will die during this time.
Human error
Standard procedure to estimate plots leading to false investor, environment, and CSR reports
Limited accuracy and scalability
Inability to predictably grow due to consistent re-working tree data and "chasing ones tail".
Our Solution
Accuracy
Significantly improved accuracy in tree counting and monitoring.
80-90% to >98%
Cost
Reduces costs associated with traditional monitoring methods.
$000's to $0.01/tree
Error
Eliminates human error in tree planting and care.
Up to 75% reduction
Our Technology
Smart-phone driven data
100% of smart phones can contribute to our annotation of the planet.
Machine learning algorithms
Pre-trained algorithms to detect size, shape, color, and texture, and can even distinguish between different species.
Cloud-based solutions
100% cloud hosted data enables global scalability and accessibilty.
Free Trial
Our Packages
Software Licensing Fees
Basic License
Includes access to the core AI For Trees software with standard features.
Premium License
Offers advanced features and customization options for larger scale operations.
Enterprise License
Provides complete access to AI For Trees software, tailored to the specific needs of each organization.
Data Analysis Services
Comprehensive Data Analysis
Gain a deep understanding of your forest and coastal ecosystems with our comprehensive data analysis services.
Actionable Insights and Recommendations
Our services help you make informed decisions and take proactive steps to protect and conserve your natural resources.
Customizable Data Reports
Get the data you need, presented in a way that works for you. Our customizable data reports give you the information you need to manage your natural resources effectively.
Partnerships
Basic Partnership
Access to our AI Tree Counting Software and training materials, as well as the opportunity to collaborate on projects and co-market our services.
Premium Partnership
Includes all benefits of the Basic Package, plus priority technical support, early access to new features, and joint sales efforts.
Enterprise Partnership
Includes all benefits of the Premium Package, plus exclusive product development and customization options, as well as dedicated account management and co-branded marketing materials.
AI Accuracy
- AI produces >98% mangrove counting accuracy
- AI Tree counting software significantly increases the accuracy of tree counting
- Manual counting methods are prone to human error and can be inconsistent
- With AI technology, data can be analyzed quickly and accurately, providing more reliable information on tree populations
- AI technology can identify and count trees based on size, shape, color, and texture, even distinguishing between different species
- Manual tree counting can achieve an accuracy of around 80-90% when carried out by trained professionals under optimal conditions
AI Speed
- AI For Trees counts trees more than 10,000 times faster than manual counting
- AI Tree counting software significantly increases the speed of tree counting
- Manual counting methods can be time-consuming and labor-intensive, particularly for large areas or complex tree populations
- With AI technology, data can be analyzed quickly and efficiently, reducing the time and effort required for tree counting
- AI technology can analyze large datasets in a short time, making it possible to count trees quickly and efficiently
Reduced Labor Costs
- According to a study by the Food and Agriculture Organization (FAO), using remote sensing and AI-based approaches can reduce forest inventory costs by up to 50%
- AI Tree counting software can significantly reduce the labor costs associated with manual counting
- Manual counting methods can be time-consuming and expensive, requiring significant manpower and resources
- With AI technology, data can be analyzed quickly and efficiently, reducing the need for manual labor
- AI technology can analyze large datasets in a short time, reducing the time and effort required for tree counting
Reduced Human Error
- According to a study by the Food and Agriculture Organization (FAO), using AI-based approaches can reduce errors in forest inventory by up to 75%
- AI Tree counting software can significantly reduce the risk of human error in tree counting
- Manual counting methods can be prone to errors and inconsistencies due to variations in perception, expertise, and opinion
- With AI technology, data can be analyzed objectively and consistently, reducing the risk of human error
- By reducing human error, AI-based approaches can provide more reliable information on tree populations, leading to more informed decisions on forest management and conservation
One day, we'll live in a world where every living thing has been tagged.
Join us on the journey...
Join Us on Our Mission
Invest in AI For Trees Today
AI For Trees is on a mission to protect and conserve the world's vital forests and coastal ecosystems. With your investment, we can continue to develop and implement innovative AI solutions that make a positive impact on the world. Join us on our journey to create a sustainable future for generations to come. Invest in AI For Trees today.
+1 347 329 2325
ai@fortrees.club
