Image processing algorithms for a selective vineyard robotic sprayer

R. Berenstein; O. Ben Shahar; A. Shapiro; A. Bechar; Y. Edan

Image processing algorithms for a selective vineyard robotic sprayer

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

This paper presents image processing algorithms for a selective robotic sprayer in vineyards. Two types of machine vision algorithms were developed to directly spray grape clusters and foliage. The first algorithm is based on the difference in the distribution of edges between the foliage and the grape clusters. The second detection algorithm uses a decision tree algorithm for separating the grape clusters from the background based on a training dataset from 100 images. Both image processing algorithms were tested on data from movies acquired in vineyards during the growing season of 2008. Results indicate high reliability of both foliage detection and grape clusters detection. Preliminary results show 90% percent accuracy of grape clusters detection, leading to 30% reduction in the use of pesticides.

Original language	English
Title of host publication	Precision Agriculture 2009 - Papers Presented at the 7th European Conference on Precision Agriculture, ECPA 2009
Pages	749-757
Number of pages	9
State	Published - 1 Dec 2009
Event	7th European Conference on Precision Agriculture, ECPA 2009 - Wageningen, Netherlands Duration: 6 Jul 2009 → 8 Jul 2009

Publication series

Name	Precision Agriculture 2009 - Papers Presented at the 7th European Conference on Precision Agriculture, ECPA 2009

Conference

Conference	7th European Conference on Precision Agriculture, ECPA 2009
Country/Territory	Netherlands
City	Wageningen
Period	6/07/09 → 8/07/09

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 2 Zero Hunger

Keywords

Decision tree
Edge detection
Machine learning
Precision agriculture

ASJC Scopus subject areas

Agronomy and Crop Science

Cite this

Berenstein, R., Ben Shahar, O., Shapiro, A., Bechar, A., & Edan, Y. (2009). Image processing algorithms for a selective vineyard robotic sprayer. In Precision Agriculture 2009 - Papers Presented at the 7th European Conference on Precision Agriculture, ECPA 2009 (pp. 749-757). (Precision Agriculture 2009 - Papers Presented at the 7th European Conference on Precision Agriculture, ECPA 2009).

Berenstein, R. ; Ben Shahar, O. ; Shapiro, A. et al. / Image processing algorithms for a selective vineyard robotic sprayer. Precision Agriculture 2009 - Papers Presented at the 7th European Conference on Precision Agriculture, ECPA 2009. 2009. pp. 749-757 (Precision Agriculture 2009 - Papers Presented at the 7th European Conference on Precision Agriculture, ECPA 2009).

@inproceedings{6bf6328348f14ac9bf161bc48dd074d0,

title = "Image processing algorithms for a selective vineyard robotic sprayer",

abstract = "This paper presents image processing algorithms for a selective robotic sprayer in vineyards. Two types of machine vision algorithms were developed to directly spray grape clusters and foliage. The first algorithm is based on the difference in the distribution of edges between the foliage and the grape clusters. The second detection algorithm uses a decision tree algorithm for separating the grape clusters from the background based on a training dataset from 100 images. Both image processing algorithms were tested on data from movies acquired in vineyards during the growing season of 2008. Results indicate high reliability of both foliage detection and grape clusters detection. Preliminary results show 90\% percent accuracy of grape clusters detection, leading to 30\% reduction in the use of pesticides.",

keywords = "Decision tree, Edge detection, Machine learning, Precision agriculture",

author = "R. Berenstein and \{Ben Shahar\}, O. and A. Shapiro and A. Bechar and Y. Edan",

year = "2009",

month = dec,

day = "1",

language = "English",

isbn = "9789086861132",

series = "Precision Agriculture 2009 - Papers Presented at the 7th European Conference on Precision Agriculture, ECPA 2009",

pages = "749--757",

booktitle = "Precision Agriculture 2009 - Papers Presented at the 7th European Conference on Precision Agriculture, ECPA 2009",

note = "7th European Conference on Precision Agriculture, ECPA 2009 ; Conference date: 06-07-2009 Through 08-07-2009",

}

Berenstein, R, Ben Shahar, O , Shapiro, A , Bechar, A & Edan, Y 2009, Image processing algorithms for a selective vineyard robotic sprayer. in Precision Agriculture 2009 - Papers Presented at the 7th European Conference on Precision Agriculture, ECPA 2009. Precision Agriculture 2009 - Papers Presented at the 7th European Conference on Precision Agriculture, ECPA 2009, pp. 749-757, 7th European Conference on Precision Agriculture, ECPA 2009, Wageningen, Netherlands, 6/07/09.

Image processing algorithms for a selective vineyard robotic sprayer. / Berenstein, R.; Ben Shahar, O.; Shapiro, A. et al.
Precision Agriculture 2009 - Papers Presented at the 7th European Conference on Precision Agriculture, ECPA 2009. 2009. p. 749-757 (Precision Agriculture 2009 - Papers Presented at the 7th European Conference on Precision Agriculture, ECPA 2009).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Image processing algorithms for a selective vineyard robotic sprayer

AU - Berenstein, R.

AU - Ben Shahar, O.

AU - Shapiro, A.

AU - Bechar, A.

AU - Edan, Y.

PY - 2009/12/1

Y1 - 2009/12/1

N2 - This paper presents image processing algorithms for a selective robotic sprayer in vineyards. Two types of machine vision algorithms were developed to directly spray grape clusters and foliage. The first algorithm is based on the difference in the distribution of edges between the foliage and the grape clusters. The second detection algorithm uses a decision tree algorithm for separating the grape clusters from the background based on a training dataset from 100 images. Both image processing algorithms were tested on data from movies acquired in vineyards during the growing season of 2008. Results indicate high reliability of both foliage detection and grape clusters detection. Preliminary results show 90% percent accuracy of grape clusters detection, leading to 30% reduction in the use of pesticides.

AB - This paper presents image processing algorithms for a selective robotic sprayer in vineyards. Two types of machine vision algorithms were developed to directly spray grape clusters and foliage. The first algorithm is based on the difference in the distribution of edges between the foliage and the grape clusters. The second detection algorithm uses a decision tree algorithm for separating the grape clusters from the background based on a training dataset from 100 images. Both image processing algorithms were tested on data from movies acquired in vineyards during the growing season of 2008. Results indicate high reliability of both foliage detection and grape clusters detection. Preliminary results show 90% percent accuracy of grape clusters detection, leading to 30% reduction in the use of pesticides.

KW - Decision tree

KW - Edge detection

KW - Machine learning

KW - Precision agriculture

UR - https://www.scopus.com/pages/publications/84893361838

M3 - Conference contribution

AN - SCOPUS:84893361838

SN - 9789086861132

T3 - Precision Agriculture 2009 - Papers Presented at the 7th European Conference on Precision Agriculture, ECPA 2009

SP - 749

EP - 757

BT - Precision Agriculture 2009 - Papers Presented at the 7th European Conference on Precision Agriculture, ECPA 2009

T2 - 7th European Conference on Precision Agriculture, ECPA 2009

Y2 - 6 July 2009 through 8 July 2009

ER -

Berenstein R, Ben Shahar O , Shapiro A , Bechar A , Edan Y. Image processing algorithms for a selective vineyard robotic sprayer. In Precision Agriculture 2009 - Papers Presented at the 7th European Conference on Precision Agriculture, ECPA 2009. 2009. p. 749-757. (Precision Agriculture 2009 - Papers Presented at the 7th European Conference on Precision Agriculture, ECPA 2009).

Image processing algorithms for a selective vineyard robotic sprayer

Abstract

Publication series

Conference

UN SDGs

Keywords

ASJC Scopus subject areas

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