<abstract xmlns="http://www.w3.org/1999/xhtml"><p>The objective of the paper was to show various options of using by author an automated stand with computer image analysis for control of plant germination on the example of cauliflower Brassica oleracea L. ‘Pionier” variety. The developed system consisted of a mobile platform equipped with the acquisition and image processing system based on Raspberry PL processor. Germination of cauliflower seeds was the object of observation, which in one case were sown to soil after dressing them with plant extracts (sweet flag <italic>Acorus calamus</italic> L., great burdock roots <italic>Arctium lappa</italic> L.). In the other case, undressed seeds were sown in the place of previous application of the above-mentioned extracts. The use of a robot for monitoring plant germination enabled the automated analysis of the investigated material with higher frequency than it has been possible so far. Simultaneously, higher germination was reported when seeds were treated with macerates and extracts from great burdock roots.</p></abstract>

The objective of the paper was to show various options of using by author an automated stand with computer image analysis for control of plant germination on the example of cauliflower Brassica oleracea L. ‘Pionier” variety. The developed system consisted of a mobile platform equipped with the acquisition and image processing system based on Raspberry PL processor. Germination of cauliflower seeds was the object of observation, which in one case were sown to soil after dressing them with plant extracts (sweet flag Acorus calamus L., great burdock roots Arctium lappa L.). In the other case, undressed seeds were sown in the place of previous application of the above-mentioned extracts. The use of a robot for monitoring plant germination enabled the automated analysis of the investigated material with higher frequency than it has been possible so far. Simultaneously, higher germination was reported when seeds were treated with macerates and extracts from great burdock roots.

Assessment of Plant Germination Intensity with the Use of Automated System with Computer Vision Method

Department of Automatization, Mechanics and Construction

Agricultural Engineering

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

The objective of the paper was to show various options of using by author an automated stand with computer image analysis for control of plant germination on...

Assessment of Plant Germination Intensity with the Use of Automated System with Computer Vision Method

Published Online: Dec 21, 2017

Page range: 83 - 91

Received: Mar 01, 2017

Accepted: Jul 01, 2017

DOI: https://doi.org/10.1515/agriceng-2017-0039

Keywords
computer image analysis, plant extracts, seeds, germination, cauliflower

© 2017 Agnieszka Szparaga et al., published by De Gruyter Open

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Assessment of Plant Germination Intensity with the Use of Automated System with Computer Vision Method

Published Online: Dec 21, 2017

Page range: 83 - 91

Received: Mar 01, 2017

Accepted: Jul 01, 2017

DOI: https://doi.org/10.1515/agriceng-2017-0039

Keywordscomputer image analysis, plant extracts, seeds, germination, cauliflower

© 2017 Agnieszka Szparaga et al., published by De Gruyter Open

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Keywords
computer image analysis, plant extracts, seeds, germination, cauliflower