Reis-2011b
From IEETA
Conference proceedings article
| Title | A low-cost system to detect bunches of grapes in natural environment from color images |
|---|---|
| Author | Manuel J. C. S. Reis, Raul Morais, Carlos M. G. Pereira, Miguel Bacelar, Salviano F. S. P. Soares, António L. G. Valente, José Baptista, Paulo J S G Ferreira, José Bulas-Cruz |
| Booktitle | Advanced Concepts for Intelligent Vision Systems (ACIVS 2011), Lecture Notes in Computer Science 6915, Springer-Verlag Berlin Heidelberg |
| Address | Het Pand, Ghent, Bélgica |
| Volume | |
| Pages | 92-102 |
| Month | August |
| Year | 2011 |
| Group | |
| Group (before 2015) | Signal Processing Laboratory |
| Indexed by ISI | Yes |
| Scope | International |
abstract
Despite the benefits of precision agriculture and precision viticulture production systems, its adoption rate in the Portuguese Douro Demarcated Region remains low. One of the most demanding tasks in wine making is harvesting. Even for humans, the environment makes grape detection difficult, especially when the grapes and leaves have a similar color, which is generally the case for white grapes. In this paper, we propose a system for the detection and location, in the natural environment, of bunches of grapes in color images. The system is also able to distinguish between white and red grapes, at the same time, it calculates the location of the bunch stem. The proposed system achieved 97% and 91% correct classifications for red and white grapes, respectively.