TY - JOUR
T1 - Application of the image processing technique in identifying the particle dispersion from a centrifugal fertilizer spreader
AU - Chen, Wei
AU - Williams, Kenneth C.
AU - Donohue, Timothy J.
AU - Katterfeld, Andre
N1 - Publisher Copyright:
© 2017 Taylor & Francis.
PY - 2017/9/3
Y1 - 2017/9/3
N2 - Particle dispersion in the vicinity of an agricultural fertilizer spreader is difficult to capture due to the rapid particle traveling motion. This paper introduced a granule impact indentation-based technique to simultaneously record the two-dimensional particle dispersion from a spinning concave disc type of spreader. A Nitrogen-Phosphorus-Potassium (NPK) type of fertilizer was utilized to induce indentations on aluminum foils placed on the wall panels confining an experimental spreader system. Subsequently, an image processing technique which is comprised of the multicolor edge detection, the curve closing, and the region merging techniques was purposely developed to automatically identify and locate the granule impacts on the sampled foil digital images. Overlapping impacts were characterized based on the granulometry of the fertilizer sample. The reconstructed particle dispersion pattern using the image processing method showed good agreement with the experimental observations. The outcome of this research enabled a fast and effective method for quantitatively assessing the particle distribution for a specific fertilizer spreader.
AB - Particle dispersion in the vicinity of an agricultural fertilizer spreader is difficult to capture due to the rapid particle traveling motion. This paper introduced a granule impact indentation-based technique to simultaneously record the two-dimensional particle dispersion from a spinning concave disc type of spreader. A Nitrogen-Phosphorus-Potassium (NPK) type of fertilizer was utilized to induce indentations on aluminum foils placed on the wall panels confining an experimental spreader system. Subsequently, an image processing technique which is comprised of the multicolor edge detection, the curve closing, and the region merging techniques was purposely developed to automatically identify and locate the granule impacts on the sampled foil digital images. Overlapping impacts were characterized based on the granulometry of the fertilizer sample. The reconstructed particle dispersion pattern using the image processing method showed good agreement with the experimental observations. The outcome of this research enabled a fast and effective method for quantitatively assessing the particle distribution for a specific fertilizer spreader.
KW - Curve closing
KW - fertilizer dispersion pattern
KW - image processing
KW - multicolor edge detection
KW - region merging
UR - http://www.scopus.com/inward/record.url?scp=84974806868&partnerID=8YFLogxK
U2 - 10.1080/02726351.2016.1184731
DO - 10.1080/02726351.2016.1184731
M3 - Article
AN - SCOPUS:84974806868
SN - 0272-6351
VL - 35
SP - 607
EP - 615
JO - Particulate Science and Technology
JF - Particulate Science and Technology
IS - 5
ER -