The method described here identifies plants by using a machine vision technique. This method achieves effective image detection independent of surrounding conditions, dimensionless image detection in each growth stage, and determination of the critical factor for discriminating individual plants. These are the fundamental factors for successful automatic thinning, cropping, weeding, and harvesting using intelligent agricultural robots. Color, aspect ratio, size, radius permutation in leaf profiles, complexity, and curvature are used to classify each plant. Effective discrimination is obtained by using a quasi-sensor fusion combined with a total occurrence range for decision making.

1.
Alden, C., Lichtensteiger, M. J., and Ullman, J. D., 1988, “Nursery Plant Detection and Assessment Using Image Analysis,” ASAE Paper, No. 88–3055.
2.
Benson, K. B., 1986, Television Engineering Handbook, McGraw-Hill.
3.
Grand d’Esnon, A., 1985, “Robotic Harvesting of Apples”, ASAE/SME, pp. 210–214.
4.
Ishizuka, T., 1993, “Plant Feature Identification from Leaf Profiles,” MS Thesis at Ibaraki University.
5.
Li, S., and Elbestawi, M. A., 1992, “A Fuzzy Logic Approach for Multi-Sensor Process Monitoring in Machining,” ASME PED-Vol. 55, pp. 1–16.
6.
Meyer
G. E.
, and
Davison
D. A.
,
1987
, “
An Electronic Image Plant Growth Measurement System
,”
Trans, ASAE
, Vol.
30
, No.
1
, pp.
242
248
.
7.
Rangwala
S.
, and
Dornfeld
D.
,
1990
, “
Sensor Integration Using Neural Network for Intelligent Tool Condition Monitoring
,”
Trans ASME
, Vol.
112
, No.
3
, pp.
219
226
.
8.
Rong, Y., Fang, M., Tzou, H. S., and Gruver, W. A., 1991, “Monitoring and Diagnosis of Robot Operation through Vibration Signal Analysis,” ASME WAM, ASME-91-DSC.
9.
Simonton, W., and Pease, J., 1990, “Automatic Plant Feature Identification on Geranium Cuttings Using Machine Vision,” Trans, ASAE, Vol. 33, No. 6, pp. 2067–2073.
10.
Shiraishi, M., 1992, “What Will Be Expected for Sensor Fusion and Quasi-sensor Fusion in Manufacturing?” Proc. of 3rd Int. Conf. on High Technology, Chiba, Japan, OA-7, pp. 85–90.
This content is only available via PDF.
You do not currently have access to this content.