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How Satellite Data Is Redefining Climate Risk in Agriculture
Dr. Keren Obara8 min read
A new article from FCL BLOOMTECH's innovation hub talks about how multi spectral satellite data can predict drought-related crop failure with maximum accuracy.
Multi-spectral satellite data, combined with machine learning techniques like Random Forest, enables the prediction of drought-related crop failures with maximum accuracy up to 10 weeks in advance. By analyzing specific invisible light bands, such as NDVI and NDWI, to monitor cellular moisture and heat stress, this approach offers a faster, more accurate early warning system than traditional ground-based methods. For more information, see the research published in SJR.
Dr. Keren Obara.
FCL BLOOMTECH LTD.