In row cultivation controlled by plant patterns

•An algorithm for locating crop plants based on the seeding pattern is suggested.•The algorithm locates crop plants based on amount of vegetation and seeding pattern.•Plant spacing and a measure for pattern stability defines the seeding pattern.•The algorithm perform better when adjacent crop rows a...

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Bibliographic Details
Published in:Computers and electronics in agriculture 2018-10, Vol.153, p.62-68
Main Authors: Midtiby, Henrik Skov, Steen, Kim Arild, Green, Ole
Format: Article
Language:English
Subjects:
Agricultural production
Convolution
Crop recognition
Cultivation
Errors
Ground truth
Harmonic oscillation
Image processing systems
Machine vision
Plant diseases
Plants (botany)
Seeding pattern
Smartphones
Vegetation
Weeds
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Summary:•An algorithm for locating crop plants based on the seeding pattern is suggested.•The algorithm locates crop plants based on amount of vegetation and seeding pattern.•Plant spacing and a measure for pattern stability defines the seeding pattern.•The algorithm perform better when adjacent crop rows are part of the seeding pattern. Information about a regular crop seeding pattern is used to locate individual crop plants seeded with a precision seeder. The amount of vegetation along each of the crop rows are monitored using a bispectral line scanning camera, this generates a vegetation coverage signal. Convolution of the vegetation coverage signal with a damped harmonic oscillation, tuned to the crop plant spacing used in the field, gives a signal with distinct peaks near the real crop plant locations. The algorithm was tested on real field data, consisting of precision seeded maize. The seeding pattern were locked, such that a crop plant in one row will be next to a crop plant in the adjacent rows. The average absolution position error from the precision seeder is estimated to be around 15.5 mm. Compared to manual annotated ground truth plant positions, the system locates individual crop plants with an average absolute position error of 20.72 mm when using information from a single crop row and an average absolution position error of 14.79 mm when utilising information from five adjacent crop rows.
ISSN:0168-1699
1872-7107
DOI:10.1016/j.compag.2018.07.037