Here, we develop a method for combining high spatial resolution (high-resolution) data with images with low spatial resolution but with high time frequency to achieve a superior classification of crop ...

The unknown data from the testing dataset are given to the trained classifier to predict a suitable crop, following which the results are evaluated using different performance metrics. An analysis is ...

Public repository of our work in the search for an optimal multi-view crop classifier (considering encoder architectures and fusion strategies) ...

Abstract: Crop classification using satellite imagery is pivotal for effective ... crop classification has involved manually extracting vegetation indices and spectral data from satellite images, ...

Department of Electronics and Computer Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram Guntur 522302, Andhra Pradesh, India Department of Electronics and Instrumentation Engineering, ...