vitisFlower®: Development and testing of a novel android-smartphone application for assessing the number of grapevine flowers per inflorescence using artificial vision techniques

  1. Aquino, A. 1
  2. Millan, B. 1
  3. Gaston, D. 1
  4. Diago, M.-P. 1
  5. Tardaguila, J. 1
  1. 1 Instituto de Ciencias de la Vid y del Vino
    info

    Instituto de Ciencias de la Vid y del Vino

    Logroño, España

    ROR https://ror.org/01rm2sw78

Journal:
Sensors

ISSN: 1424-8220

Year of publication: 2015

Volume: 15

Issue: 9

Pages: 21204-21218

Type: Article

DOI: 10.3390/S150921204 SCOPUS: 2-s2.0-84940707761 WoS: WOS:000362512200014 GOOGLE SCHOLAR lock_openOpen access editor

More publications in: Sensors

Metrics

Cited by

  • Scopus Cited by: 47 (24-02-2024)
  • Web of Science Cited by: 40 (28-10-2023)
  • Dimensions Cited by: 45 (06-01-2024)

JCR (Journal Impact Factor)

  • Year 2015
  • Journal Impact Factor: 2.033
  • Journal Impact Factor without self cites: 1.571
  • Article influence score: 0.551
  • Best Quartile: Q1
  • Area: INSTRUMENTS & INSTRUMENTATION Quartile: Q1 Rank in area: 12/56 (Ranking edition: SCIE)
  • Area: CHEMISTRY, ANALYTICAL Quartile: Q2 Rank in area: 36/75 (Ranking edition: SCIE)
  • Area: ELECTROCHEMISTRY Quartile: Q3 Rank in area: 16/27 (Ranking edition: SCIE)

SCImago Journal Rank

  • Year 2015
  • SJR Journal Impact: 0.647
  • Best Quartile: Q1
  • Area: Information Systems Quartile: - Rank in area: 94/1078
  • Area: Electrical and Electronic Engineering Quartile: Q1 Rank in area: 179/1842
  • Area: Analytical Chemistry Quartile: Q2 Rank in area: 39/112
  • Area: Medicine (miscellaneous) Quartile: Q2 Rank in area: 1073/2954
  • Area: Instrumentation Quartile: Q2 Rank in area: 33/190
  • Area: Atomic and Molecular Physics, and Optics Quartile: Q2 Rank in area: 62/255
  • Area: Biochemistry Quartile: Q3 Rank in area: 248/450

Scopus CiteScore

  • Year 2015
  • CiteScore of the Journal : 4.3
  • Area: Electrical and Electronic Engineering Percentile: 84
  • Area: Atomic and Molecular Physics, and Optics Percentile: 80
  • Area: Analytical Chemistry Percentile: 70
  • Area: Biochemistry Percentile: 55

Dimensions

(Data updated as of 06-01-2024)
  • Total citations: 45
  • Recent citations (2 years): 12
  • Relative Citation Ratio (RCR): 0.22
  • Field Citation Ratio (FCR): 11.24

Abstract

Grapevine flowering and fruit set greatly determine crop yield. This paper presents a new smartphone application for automatically counting, non-invasively and directly in the vineyard, the flower number in grapevine inflorescence photos by implementing artificial vision techniques. The application, called vitisFlower®, firstly guides the user to appropriately take an inflorescence photo using the smartphone’s camera. Then, by means of image analysis, the flowers in the image are detected and counted. vitisFlower® has been developed for Android devices and uses the OpenCV libraries to maximize computational efficiency. The application was tested on 140 inflorescence images of 11 grapevine varieties taken with two different devices. On average, more than 84% of flowers in the captures were found, with a precision exceeding 94%. Additionally, the application’s efficiency on four different devices covering a wide range of the market’s spectrum was also studied. The results of this benchmarking study showed significant differences among devices, although indicating that the application is efficiently usable even with low-range devices. vitisFlower is one of the first applications for viticulture that is currently freely available on Google Play. © 2015 by the authors; licensee MDPI, Basel, Switzerland.