Ripeness determination in feijoa fruits by using a computer vision system and colour. information
Determine the ripeness of agricultural products generally depends on an analysis by human experts. The final decision on the state of maturity where the product is found, requires correlating some of their physical features with chemical and internal characteristics of the fruit. The need to preserv...
Главные авторы: | Bonilla-González, Juan Pablo, Prieto-Ortiz, Flavio Augusto |
---|---|
Формат: | Online |
Язык: | spa |
Опубликовано: |
Universidad Pedagógica y Tecnológica de Colombia
2016
|
Предметы: | |
Online-ссылка: | https://revistas.uptc.edu.co/index.php/investigacion_duitama/article/view/5603 |
- Схожие документы
-
Driver-Assistant System Using Computer Vision and Machine Learning
по: Valencia-Payan, Cristian, и др.
Опубликовано: (2020) -
Methodology for the inspection of the tool in the drilling of parts
по: Herrera-Baquero, Lizeth Paola, и др.
Опубликовано: (2018) -
Design of an algorithm for automatic correction of position in the PCB-drilled process using computer vision techniques
по: Cárdenas, Jeison A., и др.
Опубликовано: (2015) -
Development of artificial vision system for quality control of bottles in the company Cartavio Rum Company
по: León León, Ryan Abraham, и др.
Опубликовано: (2020) -
Automatic measurement of anthropometric variables for the evaluation of respiration using artificial visión
по: Marino-Vera, Héctor, и др.
Опубликовано: (2017)