CFP last date
20 May 2024
Call for Paper
June Edition
IJCA solicits high quality original research papers for the upcoming June edition of the journal. The last date of research paper submission is 20 May 2024

Submit your paper
Know more
The week's pick
Responsive image
Enhancing Privacy Preservation: Multi-Attribute Protection with P-Sensitive K-Anonymity

Twinkle Patel Kiran Amin
Random Articles
Reseach Article

Scanner Image Analysis to Estimate Leaf Area

by Gurjot Kaur, Salam Din, Amandeep Singh Brar, Derminder Singh
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 107 - Number 3
Year of Publication: 2014
Authors: Gurjot Kaur, Salam Din, Amandeep Singh Brar, Derminder Singh
10.5120/18729-9963

Gurjot Kaur, Salam Din, Amandeep Singh Brar, Derminder Singh . Scanner Image Analysis to Estimate Leaf Area. International Journal of Computer Applications. 107, 3 ( December 2014), 5-10. DOI=10.5120/18729-9963

@article{ 10.5120/18729-9963,
author = { Gurjot Kaur, Salam Din, Amandeep Singh Brar, Derminder Singh },
title = { Scanner Image Analysis to Estimate Leaf Area },
journal = { International Journal of Computer Applications },
issue_date = { December 2014 },
volume = { 107 },
number = { 3 },
month = { December },
year = { 2014 },
issn = { 0975-8887 },
pages = { 5-10 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume107/number3/18729-9963/ },
doi = { 10.5120/18729-9963 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:40:03.898415+05:30
%A Gurjot Kaur
%A Salam Din
%A Amandeep Singh Brar
%A Derminder Singh
%T Scanner Image Analysis to Estimate Leaf Area
%J International Journal of Computer Applications
%@ 0975-8887
%V 107
%N 3
%P 5-10
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Several commercial softwares are available for plant leaf area measurement. But no freeware is available for leaf area calculation. This study proposed a freeware for calculating the plant leaf area. It was hypothesized that if the error between the calculated leaf area and the actual leaf area is low then it could be used for agronomical, physiological as well as other researches. Leaves of Brassica species, turmeric, soybean and wheat with different size and shape were selected for the study. The platform used for image processing and leaf area calculation was DOTNET framework at the front end and SQL server at the back end. A digital scanner was utilized to obtain leaf images. The user can browse the scanned image of a leaf in any image format and the freeware automatically convert it into web compatible image format Joint Photographic Group. For color tonal distribution the histogram of images was computed. The colored image was converted into monochrome image by setting the threshold value in the color matrix. In image processing method leaf area was calculated through pixel number statistic. The results were compared with the results of Leaf Area Meter by Disha Infoway India Private Limited and concluded that the error rate between them is less than ±2% for Brassica species, turmeric, soybean and wheat leaves.

References
  1. Adiga B S, Deepak N and Nandagopalan S (2009) A Universal Model for Content-Based Image Retrieval. Int J Elec Comput Eng 4:249-252.
  2. Ali M M, Al-Ani A, Eamus D and Tan D K Y (2012) A new image-processing based technique for measuring leaf dimensions. American-Eurasian J Agric & Environ Sci 12:1588-1594.
  3. Baret F, Coppin P, Fleck S, Jonckheere I, Muys B, Nackaerts K and Weiss M (2004) Review of methods for in situ leaf area index determination Part I. Theories, sensors and hemispherical photography. Agr Forest Meteorol 121:19-35.
  4. Bodhe S K and Patil S B (2011) Image processing method to measure sugarcane leaf area. Int J Eng Tech 3:6394-6400.
  5. Braga R A, Horgan G W, Marcon M, Mariano K, Paglis C M and Scalco M S (2011) Estimation of total leaf area in perennial plants using image analysis. Rev Bras Eng Agric Ambient 15:96-101.
  6. Camargo A and Smith J S (2009) An image-processing based algorithm to automatically identify plant disease visual symptoms. Biosyst Eng 102:09-21.
  7. Chen J M, Miller J R and Zhang Y (2005) Determining digital hemispherical photograph exposure for leaf area index estimation. Agr Forest Meteorol 133:166-181.
  8. Cristofori V de-Gyves E M, Fallovo C, Fanasca S, Rea R and Rivera C M (2008) Leaf Area Estimation Model for Small Fruits from Linear Measurements. Hortsci 43:2263-2267.
  9. Cunha J B (2003) Application of image processing techniques in the characterization of plant leafs. IEEE T Ind Electron 1:612-616.
  10. Femat-Diaz A, Herrera-Ruiz G, Huerta-Manzanilla E, Rico-Gracia E and Vargas-Vazquez D (2011) Scanner image methodology (SIM) to measure dimensions of leaves for agronomical applications. Afr J Biotechnol 10:1840-1847.
  11. Hernandez-Hernandez F, Herrera-Ruiz G, Rico-Gracia E and Soto-Zarazua G M (2009) Two new Methods for the Estimation of Leaf Area using Digital Photography. Int J Agric Biol 11:397-400.
  12. Landis D A, Isaacs R and O'Neal M E (2002) An Inexpensive, Accurate Method for Measuring Leaf Area and Defoliation Through Digital Image Analysis. J Econ Entomol 95:1190-1194.
  13. Lu C, Ren H, Shen Y and Zhang Y (2010) Leaf Area Measurement Based on Image Processing. Proc of International Conference on Measuring Technology and Mechatronics Automation (ICMTMA) Vol 2, pp 580-582, Changsha City, China.
  14. Phattaralerphong J, Sathornkich J and Sinoquet H (2006) A photographic gap fraction method for estimating leaf area of isolated trees: assessment with 3D digitized plants. Tree Physiol 26:1123-1136.
  15. Singh Y and Vij K (2012) Enhancement of Images Using Histogram Processing Techniques. Int J Comp Tech Appl 2:309-313.
Index Terms

Computer Science
Information Sciences

Keywords

User Interface Digital Image Processing

Powered by PhDFocusTM