Estimating the Leaf Area of Cut Roses in Different Growth Stages Using Image Processing and Allometrics

• Type: Article in International Scientific Journal
• Date: 2016

Authors

Costa, AP (Author) Other; Pôças, I (Author) Other; Mario Cunha (Author) FCUP

Journal

Title: Horticulturae

Vol. 2

Final page: 6

Publisher: MDPI

Indexing

ISI Web of Knowledge - 10 Citations

Scopus - 9 Citations

Other information

Authenticus ID: P-00N-53A

DOI: 10.3390/horticulturae2030006

Abstract (EN): Non-destructive, accurate, user-friendly and low-cost approaches to determining crop leaf area (LA) are a key tool in many agronomic and physiological studies, as well as in current agricultural management. Although there are models that estimate cut rose LA in the literature, they are generally designed for a specific stage of the crop cycle, usually harvest. This study aimed to estimate the LA of cut ¿Red Naomi¿ rose stems in several phenological phases using morphological descriptors and allometric measurements derived from image processing. A statistical model was developed based on the ¿multiple stepwise regression¿ technique and considered the stem height, the number of stem leaves, and the stage of the flower bud. The model, based on 26 stems (232 leaves) collected at different developmental stages, explained 95% of the LA variance (R2 = 0.95, n = 26, p < 0.0001). The mean relative difference between the observed and the estimated LA was 8.2%. The methodology had a high accuracy and precision in the estimation of LA during crop development. It can save time, effort, and resources in determining cut rose stem LA, enhancing its application in research and production contexts. © 2016 by the authors.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 10