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vitisFlower®: Development and Testing of a Novel Android-Smartphone Application for Assessing the Number of Grapevine
Arturo Aquino1, Borja Millan2, Daniel Gaston3
1Instituto de Ciencias de la Vid y del Vino (University of La Rioja, CSIC, Gobierno de La Rioja), 26006 Logroño, Spain. arturo.aquino@unirioja.es.
Sensors (Basel, Switzerland)
|September 8, 2015
Summary
A new smartphone app, vitisFlower, automatically counts grapevine flowers using artificial vision, aiding viticulture. This tool offers over 84% accuracy, making grapevine yield estimation more efficient.
Area of Science:
- Agricultural technology
- Horticulture
- Computer vision
Background:
- Grapevine flowering and fruit set are critical for determining crop yield.
- Accurate flower counting is essential for yield prediction and vineyard management.
- Existing methods for flower counting can be labor-intensive and time-consuming.
Purpose of the Study:
- To develop and validate a novel smartphone application for automatic, non-invasive grapevine flower counting.
- To assess the accuracy and efficiency of the vitisFlower application in real-world vineyard conditions.
- To evaluate the application's performance across various smartphone devices.
Main Methods:
- Development of the vitisFlower application for Android using OpenCV libraries.
- Implementation of artificial vision techniques for flower detection and counting in grapevine inflorescence images.
- Testing the application on 140 images from 11 grapevine varieties using two different smartphone devices.
- Benchmarking the application's efficiency on four diverse smartphone models.
Main Results:
- The vitisFlower application achieved an average flower detection rate of over 84% with a precision exceeding 94%.
- The application demonstrated efficient usability across a spectrum of devices, including lower-end models.
- Significant performance differences were observed among devices, but overall functionality remained robust.
Conclusions:
- vitisFlower provides a highly accurate and efficient solution for counting grapevine flowers directly in the vineyard.
- The application's accessibility and performance make it a valuable tool for viticulture, aiding in yield estimation and management.
- This represents a significant advancement in digital agriculture, offering a freely available tool for grape growers.
