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Published on : Nov 02, 2017

Agriculture is no more alien to the inroads made by machine learning technologies. Farmers world over are increasingly getting more receptive to the application of artificial intelligence tools. Nonetheless emerging startups have been found to be largely reluctant in making investments in developing these technologies, thereby hindering the product development. Focused on real-world applications of AI for growers world over, Ceres Imaging, a California-based startup, has secured US$2.5 million in Series A funding from Romulus Capital, a venture capital firm based in Cambridge. This follows US$5 million Series A round funding closed by the company in May this year. Focusing on developing technologies pertaining to high-resolution aerial spectral imagery and analytics, the total funding since its inception in 2014 amounts to US$10.5 million.

Funding to Develop AI-powered Product for Growers of Row and Cereal Crops

Ceres hopes to use the massive funding on building upon its vast assortment of products related to proprietary sensors and analytics, and AI technology. The acquired funds will be specifically used for offering these solutions to farmers in such countries or geographic regions as the Midwest, Australia, Hawaii, and California, notably focusing on growers of row and cereal crops. These products are validated by a four-year research collaboration the company has with the University of California.

The machine learning technologies can be used by farmers in learning about high-intensity crops and helping them optimize factors such as chlorophyll content, water stress, canopy vigor, plant counting, and thermal analysis and Ceres contends that its offerings are uniquely different from other developers of agriculture imaging technologies in terms of addressing individualized needs of different crops, climates, and farmers. The adoption of these by agriculturists will help them augment yield and plant health.