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A machine learning algorithm-based approach (MaxEnt) for predicting invasive potential of Trioza erytreae on a global scale., , , , , , , , and . Ecol. Informatics, (2022)Importance of Remotely-Sensed Vegetation Variables for Predicting the Spatial Distribution of African Citrus Triozid (Trioza erytreae) in Kenya., , , , , and . ISPRS Int. J. Geo Inf., 7 (11): 429 (2018)Estimating maize lethal necrosis (MLN) severity in Kenya using multispectral high-resolution data, , , , , , , , and . Applied Geomatics, (January 2021)Maize Cropping Systems Mapping Using RapidEye Observations in Agro-Ecological Landscapes in Kenya., , , , , , , and . Sensors, 17 (11): 2537 (2017)Maize Cropping Systems Mapping Using RapidEye Observations in Agro-Ecological Landscapes in Kenya, , , , , , , and . Sensor, (2017)Decision Support System for Fitting and Mapping Nonlinear Functions with Application to Insect Pest Management in the Biological Control Context., , , , , , and . Algorithms, 13 (4): 104 (2020)