Crop Analytica's satellite crop monitoring platform uses hyperspectral imagery at 3m resolution and AI/ML models to read crop health, growth, and yield across your whole portfolio, continuously and without ground teams.
Field visits are slow, expensive, and sample a fraction of your acreage. By the time a stressed crop shows visible symptoms, the loss is already on the books. Precision Monitoring reads biological and nutritional stress from space, weeks before the eye can catch it, across every plot at once.
We run on hyperspectral satellite data capturing hundreds of spectral bands, versus the handful that standard multispectral sensors read. And rather than running one standard model across every crop, our AI/ML models are normalised to each crop's specific age, season, and variety. That's the difference between a number you can act on and a number you have to second guess.
Operations managers, procurement teams, and supply chain managers at enterprise agribusinesses who need portfolio wide crop visibility without scaling field headcount.