Agricultural and Biosystems Engineering Publications

Campus Units

Agricultural and Biosystems Engineering

Document Type

Article

Publication Version

Published Version

Publication Date

2017

Journal or Book Title

Photosynthetica

Volume

55

Issue

4

First Page

603

Last Page

610

Research Focus Area(s)

Advanced Machinery Engineering and Manufacturing Systems

DOI

10.1007/s11099-016-0677-9

Abstract

New spectral absorption photometry methods are introduced to estimate chlorophyll (Chl) content of corn leaves by smart phones. The first method acquires light passing through a leaf by smartphone camera, compensating for differences in illumination conditions. In order to improve performance of the method, spectral absorption photometry (SAP) with background illumination has been considered as well. Data were acquired by smartphone camera in Iowa State University maize fields. Various indices were extracted and their correlation with Chl content were examined by Minolta SPAD-502. Hue index in SAP reached R ² value of 0.59. However, with light-aided SAP (LASAP), R ² of 0.97 was obtained. Among traits, the vegetation index gave the most accurate indication. We can conclude that the high performance of LASAP method for estimating Chl content, leads to new opportunities offered by smart phones at much lower cost. This is a highly accurate alternative to SPAD meters for estimating Chl content nondestructively.

Comments

This article is published as Vesali, F., M. Omid, H. Mobli, and A. Kaleita. "Feasibility of using smart phones to estimate chlorophyll content in corn plants." Photosynthetica 55, no. 4 (2017): 603-610. DOI: 10.1007/s11099-016-0677-9. Posted with permission.

Access

Open

Copyright Owner

The Author(s)

Language

en

File Format

application/pdf

Share

COinS