4JSE75Z3

2307

7 janvier 2021 14:14

7 janvier 2021 14:14

Estimation of chlorophyll content with portable meters is an easy way to quantify crop nitrogen status in sugar beet leaves. In this work, an alternative for chlorophyll content estimation using RGB-only vegetation indices has been explored. In a first step, pictures of spring-sown ‘Fernanda KWS’ variety sugar beet leaves taken with a commercial camera were used to calculate 25 RGB indices reported in the literature and to obtain 9 new indices through principal component analysis (PCA) and stepwise linear regression (SLR) techniques. The performance of the 34 indices was examined in order to evaluate their ability to estimate chlorophyll content and chlorophyll degradation in the leaves under different natural light conditions along 4 days of the canopy senescence period. Two of the new proposed RGB indices were found to improve the already good performance of the indices reported in the literature, particularly for leaves featuring low chlorophyll contents. The 4 best indices were finally tested in field conditions, using unmanned aerial vehicle (UAV)-taken photographs of a sugar beet plot, finding a reasonably good agreement with chlorophyll-meter data for all indices, in particular for I2 and (R−B)/(R+G+B). Consequently, the suggested RGB indices may hold promise for inexpensive chlorophyll estimation in sugar beet leaves during the harvest time, although a direct relationship with nitrogen status still needs to be validated.

None

• AB - Transversal
• FREDO qualité des produits
• FREDO technologie et innovation
• GEO Espagne
• GEO Portugal

• beta vulgaris
• camera
• chlorophyll
• sugar beet
• unmanned aerial vehicle
• vegetation indices

AgriEngineering

2

128-149

2020/3

24 mars 2020

10.3390/agriengineering2010009 Le DOI est une URL unique de référencement d'une publication. Il est donc plus fiable et permanent qu'une URL classique