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

5 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
2. 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.
3. Analysis of Formal Concepts for Verification of Pests and Diseases of Crops Using Machine Learning Methods J. Tussupov et al.
4. An Overview of Machine Learning Applications on Plant Phenotyping, with a Focus on Sunflower L. Centorame et al.
5. Exploring Kolmogorov–Arnold networks for hyperspectral crop classification – an evaluative study S. Gupta et al.