Remote sensing-based crop classification for sustainable agriculture in Sudan Poster presented at the Deep Learning Indaba 2022 by Abrar Elidrisi
Project's goal: Crop classification in Gezira state, Sudan using Sentinel-2 imagery (July to Decembe
Remote sensing technology has been increasingly adopted in agriculture to monitor crop heal
Abstract This study focuses on developing a machine learning-based crop yield prediction m
Background: Urbanization is an important indicator of economic growth and socia
This paper addresses the land cover classification task for remote sensing images by deep self-taugh