Individual leaf extractions from young canopy images using Gustafson–Kessel clustering and a genetic algorithm

Author:

Neto João Camargo,Meyer George E.,Jones David D.

Publisher

Elsevier BV

Subject

Horticulture,Computer Science Applications,Agronomy and Crop Science,Forestry

Reference38 articles.

1. Bezdek, J.C., 1973. Fuzzy mathematics in pattern classification. Unpublished Ph.D. dissertation, Applied Math. Center, Cornell University, Ithaca, NY.

2. Remote sensing for identification of weed in no-till corn;Brown;Trans. ASAE,1994

3. Camargo Neto, J., Meyer, G.E., 2005. Crop species identification using machine vision of computer extracted individual leaves. In: Chen, Y.R., Meyer, G.E., Tu, S., (Eds.), Optical Sensors and Sensing Systems for Natural Resources and Food Safety and Quality, Proc. SPIE, Bellingham WA, vol. 5996, pp. 64–74.

4. Camargo Neto, J., 2004. A combined statistical—soft computing approach for classification and mapping weed species in minimum tillage systems. Unpublished Ph.D. dissertation, University of Nebraska, Lincoln, NE.

5. Leaf shape modeling and analysis using geometric descriptors derived from Bezier curves;Chi;Trans. ASAE,2002

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