GLO: Geolocation of Origins. Creating better access through deep learning validation of origin.

Trade in Space是为咖啡和可可市场开发创新供应链软件的公司。我们的旗舰产品可持续地图处理地球观测图像和同行评审的数据集，以提供对农业供应链可持续发展绩效的有意义的洞察和可视化。该软件目前正在使用中，监测超过250,000项资产。我们用一款名为Digitrak的移动数据收集工具补充了我们的技术产品，该工具目前正被世界上最大的可可生产商之一使用。这个移动工具通过供应链跟踪可可，从农民到加工设施，创造了真正的豆条可追溯性。我们的产品在整个2022年和2023年变得更加重要，因为欧盟最近宣布了一项立法，要求所有关键商品的进口商确认原始农场没有砍伐森林。对于咖啡和可可进口商来说，这项新立法面临着许多挑战，其中一些挑战已经作为我们标准产品的一部分得到了解决，然而，咖啡和可可进口商面临的最大问题之一是缺乏其原产地农场的可靠数字化地理位置数据。许多进口商正争先恐后地与他们的供应链合作，寻找一种解决方案，以获得准确的、数字的、经过验证的地理位置数据。通过这个项目，Trade in Space将创建地理位置输入软件，该软件由深度学习验证模型支持，并数字化到区块链中以获得通行证。

Trade in Space are developers of innovative supply chain software for the coffee and cacao markets. Our flagship product called Sustainimaps processes earth observation imagery, and peer reviewed datasets to provide meaningful insights and visualisation of agricultural supply-chains sustainability performance. This software is currently in use monitoring over 250,000 assets. We have supplemented our technology offering with a mobile data collection tool called Digitrak, which is currently in use by one of the world's largest cacao producers. This mobile tool tracks cacao from the farmer through the supply chain, to the processing facility creating true bean-to-bar traceability.Our products have become even more relevant throughout 2022 and into 2023 as the EU have recently announced legislation requiring all importers of key commodities to confirm the originating farm is deforestation free. There are a number of challenges to this new legislation for coffee and cacao importers some of which Trade in Space has already addressed as part of our standard product offering, however, one of the biggest issues for importers of Coffee and Cacao is the lack of reliable digitised geolocation data for their origin farms. Many importers are scrambling to work with their supply chain to find a solution to obtain accurate, digital, verified geolocation data.Through this project will see Trade in Space create geolocation input software, which is backed by deep-learning verification models, and digitised into blockchain for passportability.