Farming and Earth Observation: Sentinel-2 data to estimate within-field wheat grain yield

Farming and Earth Observation: Sentinel-2 data to estimate within-field wheat grain yield

Wheat grain yield (GY) is a crop feature of central importance affecting agricultural, environmental, and socioeconomic sustainability worldwide. Hence, the estimation of within-field variability of GY is pivotal for the agricultural management, especially in the current global change context. In th...

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Bibliographic Details
Main Authors: Joel Segarra, Jose Luis Araus, Shawn C. Kefauver
Format: Article
Language:English
Published: Elsevier 2022-03-01
Series:International Journal of Applied Earth Observations and Geoinformation
Subjects:
Grain yield
Machine learning
Precision farming
Remote sensing
Sentinel-2
Wheat
Online Access:http://www.sciencedirect.com/science/article/pii/S030324342200023X

Internet

http://www.sciencedirect.com/science/article/pii/S030324342200023X

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