Omega Crop raises £1.2m from Oxford Sciences Innovation to advance agricultural yield prediction technology.
Oxford Sciences Innovation led the seed investment, which will fund commercialisation and technological advancement.
Omega Crop develops remote-sensing and agricultural modelling technology that monitors farming operations on a plant-by-plant basis. The platform enables agronomists and farmers to predict crop yields and diagnose potential losses early.
Omega Crop has secured £1.2m in seed funding to commercialise and scale its agricultural modelling technology. The round was led by Oxford Sciences Innovation, with additional backing from public bodies including InnovateUK.
Founded by two alumni of the University of Oxford, the company employs a mix of satellite, drone, and hyper-local weather data to assess farming performance. The capital will be deployed to advance its remote-sensing platform and explore adjacent products.
The business began generating revenue in 2020 and plans to expand its operations through 2021 to meet demand from the agricultural sector.
From the founder
"The world must create 70% more food by 2050 in a sustainable way. We need to double production, improve efficiencies on existing farmland, and avoid destroying more rainforests. At Omega Crop we can monitor and evaluate vast tracts of farmland, diagnosing crop loss events at scale and enable targeted interventions that will help feed our growing world."
Jared Bainbridge
CEO at Omega Crop
Investor perspective
"Omega Crop have the vision and skill to make the very best farming technologies and tools available and accessible to all. Smarter and more intelligent farming is the only way to increase food production sustainably. We are excited to be part of Omega Crop’s journey and delighted to welcome them to the OSI portfolio."
Matt Arnold
Principal, Oxford Sciences Innovation
Use of funds
- 01Continue product development
- 02Fund acquisitions
- 03Scale operations
Investors
Categories
About the company
Omega Crop
Omega Crop builds remote-sensing and modelling technology to help farms predict yields and diagnose crop losses.