DEVELOPING A SUITABLE ALGORITHM FOR SEGMENTATION OF WEEDS FROM SUGAR BEET CROP IN NORMAL FIELD CONDITIONS USING IMAGE PROCESSING

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

JAFARI A.A.; MOHTASEBI S.S.; EGHBALI JAHROMI H.; OMID M.

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: IRANIAN JOURNAL OF AGRICULTURAL SCIENCES (JOURNAL OF AGRICULTURE) Year:2006 | Volume:37 | Issue:4 Page(s): 561-572

Download Full-Text

Persian Verion

View:

1,196

Download:

Cites:

Information Journal Paper

Title

DEVELOPING A SUITABLE ALGORITHM FOR SEGMENTATION OF WEEDS FROM SUGAR BEET CROP IN NORMAL FIELD CONDITIONS USING IMAGE PROCESSING

Author(s)

JAFARI A.A. | MOHTASEBI S.S. | EGHBALI JAHROMI H. | OMID M. | Issue Writer Certificate

Keywords

ALGORITHMQ3

IMAGE PROCESSINGQ2

MACHINE VISIONQ3

SEGMENTATIONQ3

WEEDQ3

SUGAR BEETQ2

Abstract

Employment of spot sprayers will lead to less herbicide consumption and less hazard. Because of high importance attached to WEED control in agriculture and to its related expenses, plenty of research is being carried out in this field. In this study 300 digital images were taken and developed from different agricultural fields in natural outdoor conditions. Images possessed a resolution of 1200x1600 pixels in reference to a field of view of 70x60 cm2. Constitutional resolution as related to the composition of three main color components in plants as well as in 7 common WEED species (in Fars SUGAR BEET fields) were extracted using discriminate analysis. Based upon the obtained relations, a suitable ALGORITHM has been proposed through which, one is able to discriminate WEEDs from SUGAR BEET plants in any form of light condition regardless of whether they are in bright light or in the shadow of either other leaves or vehicle. Correct classification rate for each one of the seven WEED plants has been evaluated and discussed. Minimum correct classification rate was related to Convolvulus arvensis L. in shadow (70.8%) while maximum related to Setaria veridis L. Beauv (95.2%). Correct classification rate in the final SEGMENTATION ALGORITHM was found to be88.5% in sunlight and 81.8% in shadow.

Cites

No record.

References

No record.

Cite

APA: Copy

JAFARI, A.A., MOHTASEBI, S.S., EGHBALI JAHROMI, H., & OMID, M.. (2006). DEVELOPING A SUITABLE ALGORITHM FOR SEGMENTATION OF WEEDS FROM SUGAR BEET CROP IN NORMAL FIELD CONDITIONS USING IMAGE PROCESSING. IRANIAN JOURNAL OF AGRICULTURAL SCIENCES (JOURNAL OF AGRICULTURE), 37(4), 561-572. SID. https://sid.ir/paper/8370/en

Vancouver: Copy

JAFARI A.A., MOHTASEBI S.S., EGHBALI JAHROMI H., OMID M.. DEVELOPING A SUITABLE ALGORITHM FOR SEGMENTATION OF WEEDS FROM SUGAR BEET CROP IN NORMAL FIELD CONDITIONS USING IMAGE PROCESSING. IRANIAN JOURNAL OF AGRICULTURAL SCIENCES (JOURNAL OF AGRICULTURE)[Internet]. 2006;37(4):561-572. Available from: https://sid.ir/paper/8370/en

IEEE: Copy

A.A. JAFARI, S.S. MOHTASEBI, H. EGHBALI JAHROMI, and M. OMID, “DEVELOPING A SUITABLE ALGORITHM FOR SEGMENTATION OF WEEDS FROM SUGAR BEET CROP IN NORMAL FIELD CONDITIONS USING IMAGE PROCESSING,” IRANIAN JOURNAL OF AGRICULTURAL SCIENCES (JOURNAL OF AGRICULTURE), vol. 37, no. 4, pp. 561–572, 2006, [Online]. Available: https://sid.ir/paper/8370/en

Related Journal Papers