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Maize pest and diseas mapping using RapidEye-based vegetation indices and machine learning methods, , , , and . (October 2016)The use of RapidEye observations to map cropping systems in highly fragmented agro-ecological landscapes in Africa, , , , , , and . (June 2016)Predicting Spatial Distribution of Key Honeybee Pests in Kenya Using Remotely Sensed and Bioclimatic Variables: Key Honeybee Pests Distribution Models., , , , , , , , , and 2 other author(s). ISPRS Int. J. Geo Inf., 6 (3): 66 (2017)Color Calibration of Proximal Sensing RGB Images of Oilseed Rape Canopy via Deep Learning Combined with K-Means Algorithm., , , , and . Remote. Sens., 11 (24): 3001 (2019)Maize Cropping Systems Mapping Using RapidEye Observations in Agro-Ecological Landscapes in Kenya., , , , , , , and . Sensors, 17 (11): 2537 (2017)The Utility of AISA Eagle Hyperspectral Data and Random Forest Classifier for Flower Mapping., , , , , , and . Remote Sensing, 7 (10): 13298-13318 (2015)Evaluating the robustness of models developed from field spectral data in predicting African grass foliar nitrogen concentration using WorldView-2 image as an independent test dataset., , , and . Int. J. Appl. Earth Obs. Geoinformation, (2015)Performance of Support Vector Machines and Artificial Neural Network for Mapping Endangered Tree Species Using WorldView-2 Data in Dukuduku Forest, South Africa., , , and . IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 8 (10): 4825-4840 (2015)Maize Cropping Systems Mapping Using RapidEye Observations in Agro-Ecological Landscapes in Kenya, , , , , , , and . Sensor, (2017)Empirical Prediction of Leaf Area Index (LAI) of Endangered Tree Species in Intact and Fragmented Indigenous Forests Ecosystems Using WorldView-2 Data and Two Robust Machine Learning Algorithms., , , and . Remote Sensing, 8 (4): 324 (2016)