Estimating the plant stem emerging points (PSEPs) of sugar beets at early growth stages

Estimating the plant stem emerging points (PSEPs) of sugar beets at early growth stages

Successful intra-row mechanical weed control of sugar beet ( beta vulgaris) in early growth stages requires precise knowledge about location of crop plants. A computer vision system for locating plant stem emerging point (PSEP) of sugar beet in early growth stages was developed and tested. The syste...

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Bibliographic Details
Published in:Biosystems engineering Vol. 111; no. 1; pp. 83 - 90
Main Authors: Midtiby, Henrik S., Giselsson, Thomas M., Jørgensen, Rasmus N.
Format: Journal Article
Language:English
Published: Kidlington Elsevier Ltd 2012
Elsevier
Subjects:
Agricultural machinery and engineering
Agronomy. Soil science and plant productions
Beta
Beta vulgaris
Biological and medical sciences
Computer vision
crops
developmental stages
Error detection
Fundamental and applied biological sciences. Psychology
Generalities. Biometrics, experimentation. Remote sensing
Leaves
Mathematical models
mechanical weed control
Plants (organisms)
Position (location)
sugar beet
Sugar beets
Bioengineering
Engineering
Growth
Early phase
Vegetative apparatus
Sugar beet
Early stage
Agriculture
Developmental stage
Stem
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Summary:Successful intra-row mechanical weed control of sugar beet ( beta vulgaris) in early growth stages requires precise knowledge about location of crop plants. A computer vision system for locating plant stem emerging point (PSEP) of sugar beet in early growth stages was developed and tested. The system is based on detection of individual leaves; each leaf location is then described by centre of mass and petiole location. After leaf detection were the true PSEP locations annotated manually and a multivariate normal distribution model of the PSEP relative to the located leaf was built. From testing the system, PSEP estimates based on a single leaf have an average error of ∼3 mm. When several leaves are detected the average error decreases to less than 2 mm. ►Automatic detection of individual plant leaves in segmented images. ►Gaussian relative location model of leaf and PSEP. ►Prediction of PSEP within 3mm on average.
Bibliography:http://dx.doi.org/10.1016/j.biosystemseng.2011.10.011
ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
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ISSN:1537-5110
1537-5129
DOI:10.1016/j.biosystemseng.2011.10.011