Apple yield mapping using hyperspectral machine vision

V. Alchanatis; O. Safren; O. Levi; V. Ostrovsky

Apple yield mapping using hyperspectral machine vision

V. Alchanatis, O. Safren, O. Levi, V. Ostrovsky

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

Abstract

For orchard growers, it is important to estimate the quantity of fruit on the trees at different stages of their growth. This study proposes a method of automatically detecting apples in digital images that can be used for automating the yield estimation of apples on trees at different stages of their growth by means of machine vision. This investigation concentrates on estimating yield of green varieties of apples. To achieve this goal, hyperspectral imaging was applied. A multistage algorithm was developed which utilizes PCA and ECHO as well as machine vision techniques. The overall correct detection rate was 87.0% with an overall error rate of 14.9%.

Original language	English
Title of host publication	Precision Agriculture 2007 - Papers Presented at the 6th European Conference on Precision Agriculture, ECPA 2007
Editors	J. V. Stafford
Pages	555-562
Number of pages	8
State	Published - 2007
Externally published	Yes
Event	6th European Conference on Precision Agriculture, ECPA 2007 - Skiathos, Greece Duration: 3 Jun 2007 → 6 Jun 2007

Publication series

Name	Precision Agriculture 2007 - Papers Presented at the 6th European Conference on Precision Agriculture, ECPA 2007

Conference

Conference	6th European Conference on Precision Agriculture, ECPA 2007
Country/Territory	Greece
City	Skiathos
Period	3/06/07 → 6/06/07

Bibliographical note

Copyright:
Copyright 2014 Elsevier B.V., All rights reserved.

Keywords

Apples
Hyperspectral
Image processing
Machine vision
Yield mapping

Cite this

Alchanatis, V., Safren, O., Levi, O., & Ostrovsky, V. (2007). Apple yield mapping using hyperspectral machine vision. In J. V. Stafford (Ed.), Precision Agriculture 2007 - Papers Presented at the 6th European Conference on Precision Agriculture, ECPA 2007 (pp. 555-562). (Precision Agriculture 2007 - Papers Presented at the 6th European Conference on Precision Agriculture, ECPA 2007).

Alchanatis, V. ; Safren, O. ; Levi, O. et al. / Apple yield mapping using hyperspectral machine vision. Precision Agriculture 2007 - Papers Presented at the 6th European Conference on Precision Agriculture, ECPA 2007. editor / J. V. Stafford. 2007. pp. 555-562 (Precision Agriculture 2007 - Papers Presented at the 6th European Conference on Precision Agriculture, ECPA 2007).

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Alchanatis, V, Safren, O, Levi, O & Ostrovsky, V 2007, Apple yield mapping using hyperspectral machine vision. in JV Stafford (ed.), Precision Agriculture 2007 - Papers Presented at the 6th European Conference on Precision Agriculture, ECPA 2007. Precision Agriculture 2007 - Papers Presented at the 6th European Conference on Precision Agriculture, ECPA 2007, pp. 555-562, 6th European Conference on Precision Agriculture, ECPA 2007, Skiathos, Greece, 3/06/07.

Apple yield mapping using hyperspectral machine vision. / Alchanatis, V.; Safren, O.; Levi, O. et al.
Precision Agriculture 2007 - Papers Presented at the 6th European Conference on Precision Agriculture, ECPA 2007. ed. / J. V. Stafford. 2007. p. 555-562 (Precision Agriculture 2007 - Papers Presented at the 6th European Conference on Precision Agriculture, ECPA 2007).

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

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Alchanatis V, Safren O, Levi O, Ostrovsky V. Apple yield mapping using hyperspectral machine vision. In Stafford JV, editor, Precision Agriculture 2007 - Papers Presented at the 6th European Conference on Precision Agriculture, ECPA 2007. 2007. p. 555-562. (Precision Agriculture 2007 - Papers Presented at the 6th European Conference on Precision Agriculture, ECPA 2007).

Apple yield mapping using hyperspectral machine vision

Abstract

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Bibliographical note

Keywords

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