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市场自愿获得碳信用的行政和官僚程序。我们的项目将寻求评估使用人工智能将所需测试量降至最低的可行性，并了解部分土地的碳固存能力和监控碳固存水平。这将为土地所有者提供更清晰的林地种植价值主张和独立可靠的碳固存验证。该项目的框架最终可用于评估土地，其过程类似于物业的EPC，考虑到土地现有的碳固存状况及其潜力，得到改进建议的支持。

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.