Paper Info
Title
A low-cost system to detect bunches of grapes in natural environment from color images
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.
Year
DOI
Venue
2011
10.1007/978-3-642-23687-7_9
ACIVS
Keywords
Field
DocType
precision viticulture,visual inspection,grape detection,im- age processing.
Computer vision,Precision viticulture,Visual inspection,Pattern recognition,Bunches,Computer science,Image processing,Precision agriculture,Artificial intelligence,Wine
Conference
Volume
ISSN
Citations 
6915
0302-9743
0
PageRank 
References 
Authors
0.34
14
10
Name
Order
Citations
PageRank
Manuel J. C. S. Reis1245.79
Raul Morais25613.00
Carlos Pereira300.34
Olga Contente4253.27
Miguel Bacelar500.34
Salviano Soares6208.04
António Valente7218.35
José Baptista8224.08
Paulo J. S. G. Ferreira913725.98
José Bulas-Cruz108110.99