A deep learning framework under attention mechanism for wheat yield estimation using remotely sensed indices in the Guanzhong Plain, PR China

The rapid and effective acquisition of crop yield information is critical to the stability of food markets and development and implementation of related policies. It is an important baseline observation that is used for ensuring regional and global food security. In this study, a novel deep learning...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	Huiren Tian, Pengxin Wang, Kevin Tansey, Dong Han, Jingqi Zhang, Shuyu Zhang, Hongmei Li
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	Elsevier 2021-10-01
Sarja:	International Journal of Applied Earth Observations and Geoinformation
Aiheet:	Vegetation Temperature Condition Index (VTCI) Leaf Area Index (LAI) Long short-term memory with an attention mechanism (ALSTM) Yield estimation Winter wheat
Linkit:	http://www.sciencedirect.com/science/article/pii/S0303243421000829
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