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

5 citations as recorded by crossref.

1. A robust and scalable crop mapping framework using advanced machine learning and optical and SAR imageries K. Halder et al. 10.1016/j.atech.2025.101354
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3. A Parallel-Cascaded Ensemble of Machine Learning Models for Crop Type Classification in Google Earth Engine Using Multi-Temporal Sentinel-1/2 and Landsat-8/9 Remote Sensing Data E. Abdali et al. 10.3390/rs16010127
4. Analysis of Formal Concepts for Verification of Pests and Diseases of Crops Using Machine Learning Methods J. Tussupov et al. 10.1109/ACCESS.2024.3361046
5. An Overview of Machine Learning Applications on Plant Phenotyping, with a Focus on Sunflower L. Centorame et al. 10.3390/agronomy14040719