We measure the impact of "AI For Trees" through a variety of metrics that encompass both environmental and technological dimensions. These metrics allow us to gauge how well we're reaching our goal of providing an effective web3 solution for climate change mitigation.

Environmental Impact Metrics:
Number of Trees Verified: The most direct measure of our impact is the number of trees we are able to verify using our AI model. These verifications directly contribute to our efforts towards combating climate change.

Example: We've successfully verified over 1 million trees on the Ethereum blockchain since the inception of our project.
Variety of Tree Species Recognized: The diversity of tree species our AI model can recognize indicates the ecological breadth of our impact.

Example: Our AI system now recognizes 100 different tree species, up from 40 at project inception, a 150% increase.
CO2 Sequestration: We estimate the amount of CO2 sequestered by the trees we verify by using global average estimates for CO2 absorption per tree. A higher value here indicates a larger impact on reducing greenhouse gases.

Example: Considering an average mature tree absorbs about 22 kg of CO2 per year, our project indirectly contributes to the absorption of approximately 22,000 metric tons of CO2 per year given that we have verified 1 million trees.
Technological Impact Metrics:
AI Model Accuracy: Our AI model's accuracy in verifying tree species is crucial in ensuring the credibility of our project. Higher accuracy ensures reliable verification.

Example: We've increased our initial tree verification accuracy from 70% to 85%.
Number of Users and Partnerships: We track the number of organizations and individuals using our service. Growth in this area indicates the practical usability and real-world impact of our platform.

Example: We have around 300 customers including organizations like Hewlett Packard Enterprises and For Trees Club.
Amount of Data Analysed: The total amount of data processed by our algorithms demonstrates the scale at which our technology operates.

Example: We have analysed over 2Tb worth of imagery data as part of the tree verification processes.
By approaching our impact from multiple angles, we can better understand the ways in which our project is contributing to climate solutions and adjust our strategy accordingly to maximize our impact.


