Extended Agriculture-Vision
Introduced by Wu et al. in Extended Agriculture-Vision: An Extension of a Large Aerial Image Dataset for Agricultural Pattern Analysis
Extended Agriculture-Vision dataset comprises two parts:
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An improved version of the Agriculture-Vision dataset, including full-field farmland imagery, encourages the exploration of geo-information on a larger scale.
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Over three terabytes of high-resolution raw images across the US, aiming to inspire research in self-supervised learning in remote sensing and agriculture.
Extended Agriculture-Vision identified 1200 fields from 2019-2020 growing seasons. Each image consists of RGB and Near-infrared (NIR) channels with resolutions as high as 10 cm per pixel.
Papers
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