Decentralised S.A.M.

The Decentralized Species Assessment Mapper (DeSAM) is an innovative platform designed to detect, map, and manage invasive species using a combination of autonomous robotics, artificial intelligence (AI), and blockchain technology. The system operates through a robotic agent equipped with advanced sensors and AI algorithms capable of identifying invasive species across various terrains. Upon detection, the robot captures images and records geolocation data, which are then securely uploaded to the blockchain. This decentralised approach ensures data transparency and prevents censorship.

To validate the collected data, DeSAM offers a decentralised application (dApp) where users can view the uploaded images and vote on their accuracy. This community-driven validation process enhances data reliability and fosters public engagement in environmental monitoring.

DeSAM is built upon a robust technological stack that ensures seamless integration between hardware and software components, emphasizing decentralization, security, and user engagement.

The frontend of DeSAM is developed using Next.js, a React-based framework known for its performance and scalability. This choice facilitates server-side rendering and provides a dynamic user experience. The dApp interface allows users to:

• View images and data of detected invasive species.
• Participate in the validation process by voting on the accuracy of the data.
• Access real-time statistics and updates.

Smart contracts are deployed on the Ethereum blockchain to manage data uploads and the validation process. These contracts handle:

• Storing image hashes and geolocation data on the blockchain.
• Managing user votes and ensuring the integrity of the validation process.
• Distributing rewards or incentives to users participating in the validation.

DeSAM leverages AgentKit, a toolkit that enables AI agents to access crypto wallets and on-chain functionalities. This integration allows the robotic agent to autonomously:

• Create and manage crypto wallets.
• Execute transactions to upload data to the blockchain.
• Interact with smart contracts for data validation and reward distribution.

To further decentralize the validation process, DeSAM employs EigenLayer's AVS framework. This setup allows for:

• Custom verification mechanisms for off-chain data, ensuring that the information collected by the robotic agent is accurate and trustworthy.
• A network of operators who validate the data and post evidence on-chain, enhancing the system's security and reliability.
• Efficient scaling of validation services without compromising decentralization.

By integrating these technologies, DeSAM creates a comprehensive and decentralized system for monitoring and managing invasive species, engaging the community in environmental conservation efforts.