International Scientific Publications
© 2007-2025 Science Events Ltd
Terms of Use  ·  Privacy Policy
Language English French Polish Romanian Bulgarian
Conference room
Agriculture & Food 2025, 13th International Conference
11-14 August, Burgas, Bulgaria
Call for Papers

Agriculture & Food, Volume 3, 2015

IMAGE-BASED TECHNIQUE FOR ESTIMATING PHOSPHORUS LEVELS IN COTTON (GOSSYPIUM HIRSUTUM L.)
Mahdi Ali, Ahmed AL-Ani, Daniel Tan, Derek Eamus, Ian Rochester
Pages: 234-240
Published: 23 May 2015
Views: 3,012
Downloads: 669
Abstract: In this glasshouse study, we proposed a new image-based non-destructive technique for estimating P levels in cotton leaves. The plants were grown on a nutrient medium containing various P concentrations, i.e. 0%, 50% and 100% of recommended P levels for 10 weeks, and then leaf P contents were analysed using a destructive method. For comparison, we collected leaf images of the leaves using a handheld crop sensor. The RGB (red, green and blue) values of the collected images were used for calculating leaf area and leaf perimeter. This data on leaf growth parameters was used in a linear discriminant analysis (LDA) to estimate leaf P contents. Using LDA, we successfully classified cotton plants into different group based on their leaf P contents indicating that P deficiency in cotton can be estimated using leaf morphological data. Our proposed non-destructive method was efficient in estimating P requirements for cotton.
Keywords: image-based techniques, cotton, leaf p contents, linear discriminant analysis
Cite this article: Mahdi Ali, Ahmed AL-Ani, Daniel Tan, Derek Eamus, Ian Rochester. IMAGE-BASED TECHNIQUE FOR ESTIMATING PHOSPHORUS LEVELS IN COTTON (GOSSYPIUM HIRSUTUM L.). Journal of International Scientific Publications: Agriculture & Food 3, 234-240 (2015). https://www.scientific-publications.net/en/article/1000676/
Back to the contents of the volume

Submit Feedback

We value your input! Use this form to report any concerns or provide feedback on our published articles. All submissions will be kept confidential.

By using this site you agree to our Privacy Policy and Terms of Use. We use cookies, including for analytics, personalisation, and ads.