EVALUATING THE PERFORMANCE OF A SEMI-AUTOMATIC APPLE FRUIT DETECTION IN A HIGH-DENSITY ORCHARD SYSTEM USING LOW-COST DIGITAL RGB IMAGING SENSOR

Author:

Biffi Leonardo Josoé1ORCID,Mitishita Edson Aparecido1ORCID,Liesenberg Veraldo2ORCID,Centeno Jorge Antonio Silva1ORCID,Schimalski Marcos Benedito2ORCID,Rufato Leo2ORCID

Affiliation:

1. Universidade Federal do Paraná, Brazil

2. Universidade do Estado de Santa Catarina, Brazil

Publisher

FapUNIFESP (SciELO)

Subject

General Earth and Planetary Sciences

Reference37 articles.

1. Quantifying time-series of leaf morphology using 2D and 3D photogrammetry methods for high-throughput plant phenotyping;An N.;Computers and Electronics in Agriculture,2017

2. A Cloud-Based Environment for Generating Yield Estimation Maps From Apple Orchards Using UAV Imagery and a Deep Learning Technique;Apolo-Apolo O. E.;Frontiers in Plant Science,2020

3. Automated early yield prediction in vineyards from on-the-go image acquisition;Aquino A.;Computers and Electronics in Agriculture,2018

4. Image Segmentation for Fruit Detection and Yield Estimation in Apple Orchards;Bargoti S.;Journal of Field Robotics,2017

5. A robust algorithm based on color features for grape cluster segmentation;Behroozi-Khazaei N.;Computers and Electronics in Agriculture,2017

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