Comparisons of sensors to predict spring wheat grain yield and protein content-Reference-Cited by-同舟云学术

Comparisons of sensors to predict spring wheat grain yield and protein content

Published:2021-03 Issue:2 Volume:113 Page:2091-2101
ISSN:0002-1962
Container-title:Agronomy Journal
language:en
Short-container-title:Agron.j.

Author:

Veverka Donald¹,Chatterjee Amitava¹^ORCID,Carlson Melissa²

Affiliation:

1. Dep. of Soil Science North Dakota State Univ. Fargo ND 58108 USA

2. Minnesota Wheat Research & Promotion Council 2600 Wheat Dr. Red Lake Falls MN 56750 USA

Funder

North Dakota Agricultural Experiment Station

Publisher

Wiley

Subject

Agronomy and Crop Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/agj2.20621

Reference30 articles.

1. Spectral Vegetation Indices as Nondestructive Tools for Determining Durum Wheat Yield

2. Crop sensor based non‐destructive estimation of nitrogen nutritional status, yield, and grain protein content in wheat;Aranguren M.;Agriculture‐Basel,2020

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4. Active‐Optical Reflectance Sensing Corn Algorithms Evaluated over the United States Midwest Corn Belt

5. Combining UAV-based plant height from crop surface models, visible, and near infrared vegetation indices for biomass monitoring in barley

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