A COMPARATIVE STUDY OF MACHINE LEARNING CLASSIFIERS FOR CROP TYPE MAPPING USING VEGETATION INDICES

6 citations as recorded by crossref.

1. Evaluating the performance of random forest, support vector machine, gradient tree boost, and CART for improved crop-type monitoring using greenest pixel composite in Google Earth Engine C. Savitha & R. Talari https://doi.org/10.1007/s10661-025-13880-3
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4. Analysis of Formal Concepts for Verification of Pests and Diseases of Crops Using Machine Learning Methods J. Tussupov et al. https://doi.org/10.1109/ACCESS.2024.3361046
5. An Overview of Machine Learning Applications on Plant Phenotyping, with a Focus on Sunflower L. Centorame et al. https://doi.org/10.3390/agronomy14040719
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