A study on cotton yield prediction based on the chlorophyll fluorescence parameters of upper leaves

A study on cotton yield prediction based on the chlorophyll fluorescence parameters of upper leaves

The early and accurate monitoring of crop yield is important for field management, storage needs, and cash flow budgeting. Traditional cotton yield measurement methods are time-consuming, labor-intensive, and subjective. Chlorophyll fluorescence signals originate from within the plant and have the...

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Bibliographic Details
Main Authors:	Yiren DING, Shizhe QIN, Lulu MA, Xiangyu CHEN, Qiushuang YAO, Mi YANG, Yiru MA, Xin LV, Ze ZHANG
Format:	Article
Language:	English
Published:	AcademicPres 2022-09-01
Series:	Notulae Botanicae Horti Agrobotanici Cluj-Napoca
Subjects:	cotton chlorophyll fluorescence parameters leaf position machine learning yield
Online Access:	https://www.notulaebotanicae.ro/index.php/nbha/article/view/12775

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