EVALUATING THE PERFORMANCE OF A SEMI-AUTOMATIC APPLE FRUIT DETECTION IN A HIGH-DENSITY ORCHARD SYSTEM USING LOW-COST DIGITAL RGB IMAGING SENSOR
Author:
Affiliation:
1. Universidade Federal do Paraná, Brazil
2. Universidade do Estado de Santa Catarina, Brazil
Publisher
FapUNIFESP (SciELO)
Subject
General Earth and Planetary Sciences
Link
http://www.scielo.br/pdf/bcg/v27n2/1982-2170-bcg-27-02-e2021014.pdf
Reference37 articles.
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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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