CarbonCultivator: Identifying and verifying carbon sequestration for the agriculture sector

我们的项目旨在减少农业中农民和土地所有者进入自愿碳信用市场的行政和官僚作风。我们的项目将评估使用人工智能的可行性，以最大限度地减少所需的测试量，了解一段土地的碳封存能力，并监测碳封存水平。这将为土地所有者提供更明确的林地种植价值主张，并对碳封存进行独立可靠的核实。考虑到土地现有的碳封存状态及其潜力，并辅以改进建议，该项目的框架最终可用于评估土地，其过程类似于房地产的EPC。

Our project aims to reduce the administrative and bureaucracy for farmers and land owners in agriculture to enter the market for voluntary carbon credits.Our project will look to assess the feasibility of using AI to minimise the amount of testing required and to understand what the capacity for carbon sequestration could be for a section of land and to monitor carbon sequestration levels.This will provide land owners with a clearer value proposition for woodland planting and an independent and reliable verification of carbon sequestration.The framework for this project could ultimately be used to assess land in a process similar to an EPC for a property, considering the existing carbon sequestration state of land, and it's potential, supported by recommendations for improvement.