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Maize pest and diseas mapping using RapidEye-based vegetation indices and machine learning methods

, , , , и . (октября 2016)

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Moustafa Abdel-Rahman

Abdel-Rahman Saleem

Mohamed Abdel-Rahman

Rasha Abdel Rahman

Abdel Rahman Taryal

 

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The use of RapidEye observations to map cropping systems in highly fragmented agro-ecological landscapes in Africa, , , , , , и . (июня 2016)Maize pest and diseas mapping using RapidEye-based vegetation indices and machine learning methods, , , , и . (октября 2016)Predicting Spatial Distribution of Key Honeybee Pests in Kenya Using Remotely Sensed and Bioclimatic Variables: Key Honeybee Pests Distribution Models., , , , , , , , , и 2 other автор(ы). 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., , , , и . Remote. Sens., 11 (24): 3001 (2019)Predicting stem borer density in maize using RapidEye data and generalized linear models., , , , , , и . Int. J. Appl. Earth Obs. Geoinformation, (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., , , и . Remote Sensing, 8 (4): 324 (2016)Importance of Remotely-Sensed Vegetation Variables for Predicting the Spatial Distribution of African Citrus Triozid (Trioza erytreae) in Kenya., , , , , и . ISPRS Int. J. Geo Inf., 7 (11): 429 (2018)Maize Cropping Systems Mapping Using RapidEye Observations in Agro-Ecological Landscapes in Kenya, , , , , , , и . Sensor, (2017)Performance of Support Vector Machines and Artificial Neural Network for Mapping Endangered Tree Species Using WorldView-2 Data in Dukuduku Forest, South Africa., , , и . IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 8 (10): 4825-4840 (2015)Wide-area mapping of invasive species propagation and containment zones in somaliland using phenometric trends and generalized linear modelling., , , , и . IGARSS, стр. 1103-1106. IEEE, (2017)