Early Yield Estimation in Viticulture Based on Grapevine Inflorescence Detection and Counting in Videos
Author:
Affiliation:
1. CSIRO Data61, Marsfield, NSW, Australia
2. CSIRO Agriculture and Food, Waite Campus, Urrbrae, SA, Australia
Funder
Department of Agriculture, Fisheries and Forestry, through their Rural Research and Development for Profit Scheme and Wine Australia
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/10005208/10087292.pdf?arnumber=10087292
Reference42 articles.
1. Grapevine flower estimation by applying artificial vision techniques on images with uncontrolled scene and multi-model analysis
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3. A robust automated flower estimation system for grape vines
4. Hybrid Task Cascade for Instance Segmentation
5. Automated grapevine flower detection and quantification method based on computer vision and deep learning from on-the-go imaging using a mobile sensing platform under field conditions
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