UK startup Messium promises laboratory level nitrogen level insights from space

The Messium nitrogen estimator, developed through trials in 2024, utilizes a network of hyperspectral satellites and sophisticated computer modeling, including artificial intelligence, to offer accurate nitrogen recommendations for agricultural growers. Such an innovative satellite-based system could transform fertilizer management on farms by providing precise nitrogen measurements from space.
This technology accounts for a variety of factors, including nitrogen response curves, crop growth stage requirements, and prevailing weather conditions, allowing for more targeted fertilization strategies. According to Messium CEO George Marangos-Gilks, this method surpasses traditional satellite systems that measure biomass through the normalized difference vegetation index (NDVI).
In 2024, extensive field trials involving 1,000 physical crop samples from 47 farms across Europe revealed significant discrepancies in fertilization. Half of the fields showed over-fertilization by an average of 40%, and 39% under-fertilized by about 28%. George highlighted the potential of hyperspectral satellites in providing greater accuracy and cost-effectiveness over large areas compared to tractor-mounted or drone-based sensors.
The upcoming deployment of 15 operational hyperspectral satellites in 2025 will further enhance the system’s capability to capture clearer images, promising even more reliable data for on-farm applications. Results from previous UK trials underscored the benefits, with one participating farm in Suffolk experiencing yield improvements after adjusting their nitrogen application based on Messium’s recommendations.
As the technology progresses, Messium aims to eliminate the need for physical sampling, relying solely on its AI-driven models to generate nitrogen recommendations. This advancement could mark a significant shift in how fertilizers are managed, potentially leading to more sustainable farming practices and increased agricultural productivity.

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