Detection of Double-Cropping Systems Using Machine Learning and Sentinel 2 Imagery - A Case Study of Bačka and Srem Regions, Serbia     
Abstract:<p>Increasing agricultural production is inevitable in the future since population growth and climate change have led to significant pressure on global food security. One of the ways is to intensify the existing cropland by multi-cropping practice, allowing multiple uses of a single field during one year.&#160; This research aims to identify and map double-cropping land using multi-temporal Sentinel 2 imagery from 2021 and advanced machine learning models. The case study focus is on Ba&am… Show more
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