Extraction of a 3D Map of the Greenhouse Environment and Detection and Segmentation of Pots Using Stereo Vision

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.

KHOSROBEYGI ZAHRA; RAFIEE SHAHIN; MOHTASEBI SEYED SAEID; NASIRI AMIN

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

Journal Paper

Paper Information

Journal: Iranian Journal of Biosystems Engineering Year:2019 | Volume:50 | Issue:3 Page(s): 671-681

Download Full-Text

Persian Verion

View:

418

Download:

Cites:

Information Journal Paper

Title

Extraction of a 3D Map of the Greenhouse Environment and Detection and Segmentation of Pots Using Stereo Vision

Author(s)

KHOSROBEYGI ZAHRA | RAFIEE SHAHIN | MOHTASEBI SEYED SAEID | NASIRI AMIN | Issue Writer Certificate

Keywords

StereovisionQ1

PotQ1

ROSQ1

GreenhouseQ2

Abstract

Creating a map of the Greenhouse environment and determine the position of the Pots on this map, which are the main obstacles in agricultural environments, especially Greenhouses, is an essential step in automating agricultural operations. In this research, using Stereovision, the map from the Greenhouse environment was extracted and the Pots in this map were detected and segmented. To reach this goal, ROS framework, nodes and network connections in this framework, was used. To evaluate the designed algorithm, the error rate is calculated using Euclidean distance between estimated locations and actual locations of Pots. The results of this study showed that 100% of the Pots were identified and positioned. The evaluation results showed that the mean errors in estimating the position of the Pots was 0. 056 and Root mean squared error (RMSE) was 0. 0006. Also, the maximum error in estimating the position of the Pots was 0. 137m and the minimum error was 0. 005m. The results showed that the designed algorithm has a high accuracy in estimating the position of the Pots.

Cites

No record.

References

No record.

Cite

APA: Copy

KHOSROBEYGI, ZAHRA, RAFIEE, SHAHIN, MOHTASEBI, SEYED SAEID, & NASIRI, AMIN. (2019). Extraction of a 3D Map of the Greenhouse Environment and Detection and Segmentation of Pots Using Stereo Vision. IRANIAN JOURNAL OF BIOSYSTEMS ENGINEERING (IRANIAN JOURNAL OF AGRICULTURAL SCIENCES), 50(3 ), 671-681. SID. https://sid.ir/paper/144246/en

Vancouver: Copy

KHOSROBEYGI ZAHRA, RAFIEE SHAHIN, MOHTASEBI SEYED SAEID, NASIRI AMIN. Extraction of a 3D Map of the Greenhouse Environment and Detection and Segmentation of Pots Using Stereo Vision. IRANIAN JOURNAL OF BIOSYSTEMS ENGINEERING (IRANIAN JOURNAL OF AGRICULTURAL SCIENCES)[Internet]. 2019;50(3 ):671-681. Available from: https://sid.ir/paper/144246/en

IEEE: Copy

ZAHRA KHOSROBEYGI, SHAHIN RAFIEE, SEYED SAEID MOHTASEBI, and AMIN NASIRI, “Extraction of a 3D Map of the Greenhouse Environment and Detection and Segmentation of Pots Using Stereo Vision,” IRANIAN JOURNAL OF BIOSYSTEMS ENGINEERING (IRANIAN JOURNAL OF AGRICULTURAL SCIENCES), vol. 50, no. 3 , pp. 671–681, 2019, [Online]. Available: https://sid.ir/paper/144246/en

Related Journal Papers