A novel method for the estimation of soybean chlorophyll content using a smartphone and image analysis

Title:

A novel method for the estimation of soybean chlorophyll content using a smartphone and image analysis

Creator:

Rigon, J. P. G., Capuani, S., Fernandes, D. M., and Guimarães, T. M.

Identifier:

https://cdk.lib.cas.cz/client/handle/uuid:66d4578c-dbb0-4b35-a045-8b372ceedc70
uuid:66d4578c-dbb0-4b35-a045-8b372ceedc70
issn:0300-3604
doi:10.1007/s11099-016-0214-x

Subject:

chlorofyl, karotenoidy, chlorophyll, carotenoids, mathematical models, fotosyntetické pigmenty, přenosná zařízení, quinoa, sezam, sójové boby, ricinový olej, tmavě zelený barevný index, vegetační index, smart phone camera, color model, photosynthetic pigments, portable equipment, sesame, soybean, castor oil, pod formation stage, Surinam cherry, dark green color index, vegetation index, 2, and 581

Type:

model:article and TEXT

Format:

print, bez média, and svazek

Description:

The development of smartphones, specifically their cameras, and imaging technologies has enabled their use as sensors/measurement tools. Here we aimed to evaluate the applicability of a fast and noninvasive method for the estimation of total chlorophyll (Chl), Chl a, Chl b, and carotenoids (Car) content of soybean plants using a smartphone camera. Single leaf disc images were obtained using a smartphone camera. Subsequently, for the same leaf discs, a Chl meter was used to obtain the relative index of Chl and the photosynthetic pigments were then determined using a classic method. The RGB, HSB and CIELab color models were extracted from the smartphone images and correlated to Chl values obtained using a Chl meter and by a standard laboratory protocol. The smartphone camera was sensitive enough to capture successfully a broad range of Chl and Car contents seen in soybean leaves. Although there was a variation between color models, some of the proposed regressions (e.g., the S and b index from HSB and Lab color models and NRI [RGB model]) were very close to the Chl meter values. Based on our findings, smartphones can be used for rapid and accurate estimation of soybean and Car contents in soybean leaves., J. P. G. Rigon, S. Capuani, D. M. Fernandes, T. M. Guimarães., and Obsahuje bibliografii

Language:

Multiple languages

Rights:

http://creativecommons.org/licenses/by-nc-sa/4.0/
policy:public

Coverage:

559-566

Source:

Photosynthetica | 2016 Volume:54 | Number:4

Harvested from:

CDK

Metadata only:

false