Hummingbird Technologies is a data and imagery analytics company founded in 2016 that provides advanced remote sensing analytics to improve the sustainability of the agri-food sector. The company uses artificial intelligence (AI) and deep learning to deliver monitoring, reporting, and verification (MRV) for regenerative agriculture, enabling farmers to monetize carbon credits and other ecosystem services. Hummingbird's technology utilizes low-orbit satellite imagery, ground-truth data, and machine learning to automatically recognize and report on-farm regenerative agriculture practices such as cover crops, tillage, and crop rotations. This allows for tracking green biomass and continuous monitoring of field activities. The company's AI-based SaaS platform employs deep learning and computer vision techniques along with proprietary algorithms to provide actionable insights to farmers and agri-businesses, including crop health assessment, disease risk and detection, weed mapping, and yield prediction. In July 2022, Hummingbird Technologies was acquired by Agreena, a Danish agtech company, in a move to strengthen Agreena's value chain and international position in soil carbon certification. Prior to the acquisition, Hummingbird had over 100,000 hectares under management and employed 25 data science employees in London, along with 50 part-time pilot and agronomy jobs in rural areas.
Key customers and partnerships
Hummingbird Technologies has collaborated with various organizations in the agriculture and space sectors. In March 2018, the company received investment from notable backers including Sir James Dyson, the European Space Agency, Newable Private Investing, and Velcourt, the UK's largest commercial farming operation. The UK Space Agency has also recognized Hummingbird's potential in harnessing space technology for agricultural applications. The company's acquisition by Agreena in July 2022 expanded its operational capacity to the Americas and Australia, in addition to its existing presence in the pan-European market.
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