Comparison of Satellite Imagery and Ground‐Based Active Optical Sensors as Yield Predictors in Sugar Beet, Spring Wheat, Corn, and Sunflower

Bu, Honggang; K. Sharma, Lakesh; Denton, Anne; W. Franzen, David

doi:10.2134/agronj2016.03.0150

Public

Comparison of Satellite Imagery and Ground‐Based Active Optical Sensors as Yield Predictors in Sugar Beet, Spring Wheat, Corn, and Sunflower

Shared by NobleBlocks on Nov 14, 2016 • 12:00 AM UTC

Authors:

Honggang Bu

Lakesh K. Sharma

Anne Denton

Abstract

Core Ideas Satellite imagery could be used to predict yield the study crops. Satellite imagery could be used to screen fields for in‐season N application. Obtaining satellite imagery early enough in the season to screen fields for in‐season N is a problem. Algorithms using active‐optical (AO) sensor...

Subject

Sunflower

Satellite imagery

Sugar beet

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