Evaluation of forage quality in a pea breeding program using a hyperspectral sensing system-Reference-Cited by-同舟云学术

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Evaluation of forage quality in a pea breeding program using a hyperspectral sensing system

Published:2023-09 Issue: Volume:212 Page:108052
ISSN:0168-1699
Container-title:Computers and Electronics in Agriculture
language:en
Short-container-title:Computers and Electronics in Agriculture

Author:

Sangjan Worasit,McGee Rebecca J.,Sankaran Sindhuja

Funder

National Institute of Radiological Sciences

National Institute of Food and Agriculture

Washington State University

Publisher

Elsevier BV

Subject

Horticulture,Computer Science Applications,Agronomy and Crop Science,Forestry

Reference58 articles.

1. A possible fractional order derivative and optimized spectral indices for assessing total nitrogen content in cotton;Abulaiti;Comput. Electron. Agric.,2020

2. Review: field pea grain for beef cattle;Anderson;The Professional Animal Scientist,2007

3. Degradation in the rumen of proteins of 2 legumes: soybean meal and field pea;Aufrere;Reprod. Nutr. Dev.,1994

4. Predicting forage quality of warm-season legumes by near infrared spectroscopy coupled with machine learning techniques;Baath;Sensors,2020

5. The use of mobile near-infrared spectroscopy for real-time pasture management;Bell;Frontiers in Sustainable Food Syst.,2018

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