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Satellite imagery is being widely adopted in precision agriculture because of its cost-effectiveness and accuracy. Helping agronomists everywhere save time, resources and money. Satellite data collects detailed information to predict crop yields, including NDVI. Earth observation (EO) data can measure details, such as soil moisture, to help farmers support crop health. Forget expensive ground sensors; invest in satellite imagery for fast and affordable resources
The normalized difference vegetation index (NDVI) is a simple graphical indicator that can be used to analyze remote sensing measurements, often from a space platform, assessing whether or not the target being observed contains live green vegetation.
Use remote sensing data to detect pests, prevent diseases, and keep your crops healthy.
Extract insights from high-resolution satellite images to make better use of your land.
Assess soil properties like moisture and temperature to make better decisions to maximize crop yield.
Satellite imagery is being widely adopted in precision agriculture because of its cost-effectiveness and accuracy. Helping agronomists everywhere save time, resources and money. Satellite data collects detailed information to predict crop yields, including NDVI. Earth observation (EO) data can measure details, such as soil moisture, to help farmers support crop health. Forget expensive ground sensors; invest in satellite imagery for fast and affordable resources.
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