Evaluation of computer imaging technique for predicting the SPAD readings in potato leaves

Information Processing in Agriculture

Volumn 4, Issue 4, 2017, Pages 275-282

  Borhan, M S ^a   Panigrahi, S ^a,b   Satter, M A ^a   Gu, H ^c  

^a North Dakota State University   (United States)

^b PURDUE UNIVERSITY   (United States)

^c NORTH DAKOTA STATE UNIVERSITY   (United States)

Author keywords

Chlorophyll; Computer imaging; Prediction accuracy; Regression; SPAD meter

Indexed keywords

CHARGE COUPLED DEVICES; CHLOROPHYLL; FORECASTING; GRAPHIC METHODS; IMAGING TECHNIQUES; LEAST SQUARES APPROXIMATIONS; LINEAR REGRESSION; PLANTS (BOTANY); REGRESSION ANALYSIS;

CHLOROPHYLL CONTENTS; COMPUTER IMAGING SYSTEMS; MAXIMUM ACCURACIES; MULTIPLE LINEAR REGRESSION MODELS; MULTIPLE REGRESSION MODEL; NONCONTACT MEASUREMENTS; PREDICTION ACCURACY; REGRESSION;

IMAGE PROCESSING;

ACCURACY ASSESSMENT; CHLOROPHYLL; IMAGING METHOD; LEAF; PREDICTION; REGRESSION ANALYSIS; VEGETABLE;

EID: 85028339464     PISSN: 22143173     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.inpa.2017.07.005     Document Type: Article

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