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From Satellites to Fields: Machine Learning Applications for Prediction of Corn Production Using NDVI, Precipitation and Land Surface Temperature for Large Producer Countries.

, , , and . IEEE Big Data, page 3479-3488. IEEE, (2023)

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Global Trends in Seasonality of Normalized Difference Vegetation Index (NDVI), 1982-2011., , , , and . Remote. Sens., 5 (10): 4799-4818 (2013)Thirty-two Years of Sahelian Zone Growing Season Non-Stationary NDVI3g Patterns and Trends., , , and . Remote. Sens., 6 (4): 3101-3122 (2014)USA Crop Yield Estimation with MODIS NDVI: Are Remotely Sensed Models Better than Simple Trend Analyses?, , , , , , , and . Remote. Sens., 13 (21): 4227 (2021)Environmental Biosurveillance for Epidemic Prediction: Experience with Rift Valley Fever., , , , , and . BioSecure, volume 5354 of Lecture Notes in Computer Science, page 169-174. Springer, (2008)Integrating Climate Variable Data in Machine Learning Models for Predictive Analytics of Tomato Yields in California., , , , , , and . IEEE Big Data, page 3538-3546. IEEE, (2023)Reaching Broad Audiences from a Large Agency Setting., , , , , , , , , and 2 other author(s). Foundations of Data Visualization, Springer, (2020)Assessing biomass of diverse coastal marsh ecosystems using statistical and machine learning models., and . Int. J. Appl. Earth Obs. Geoinformation, (2018)The Normalization of Surface Anisotropy Effects Present in SEVIRI Reflectances by Using the MODIS BRDF Method., , , , , , , , , and 1 other author(s). IEEE Trans. Geosci. Remote. Sens., 52 (10): 6026-6039 (2014)Teleconnections and Interannual Transitions as Observed in African Vegetation: 2015-2017., , and . Remote. Sens., 10 (7): 1038 (2018)Remote Sensing Contributions to Prediction and Risk Assessment of Natural Disasters Caused by Large-Scale Rift Valley Fever Outbreaks., , , , and . Proc. IEEE, 100 (10): 2824-2834 (2012)