This repository contains the code for the paper Multi Modal Deep Learning Based Crop Classification Using Multispectral and Multitemporal Satellite Imagery that will be published as a poster paper in ...

Data classification has been an important part of data science and machine learning. It refers to supervised techniques of identifying the most likely category a sample belongs to out of a given list ...

Abstract: Crop Type classification using ... data is an important tool for decision-making related to precision agriculture. Such classification remains an unsolved challenge due to the choice of ...

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

Many applied problems arising in agricultural monitoring and food security require reliable crop maps at national or global scale. Large scale crop mapping requires processing and management of large ...

and it is an essential data input for remote sensing and GIS analysts who perform crop classification using satellite images. Trained with more than half a million annotated datasets across different ...