Learning county from pixels: Corn yield prediction with attention-weighted multiple instance learning

arXiv:2312.01001v2 Announce Type: replace
Abstract: Remote sensing technology has become a promising tool in yield prediction. Most prior work employs satellite imagery for county-level corn yield prediction by spatially aggregating all pixels within a county into a single value, potentially overlooking the detailed information and valuable insights offered by more granular data. To this end, this research examines each county at the pixel level and applies multiple instance learning to leverage detailed information within a county. In addition, our method …

abstract arxiv attention become county cs.ai cs.cv information insights instance multiple pixels prediction prior satellite sensing technology tool type value work