Maturity Recognition and Fruit Counting for Sweet Peppers in Greenhouses Using Deep Learning Neural Networks

Maturity Recognition and Fruit Counting for Sweet Peppers in Greenhouses Using Deep Learning Neural Networks

This study presents an approach to address the challenges of recognizing the maturity stage and counting sweet peppers of varying colors (green, yellow, orange, and red) within greenhouse environments. The methodology leverages the YOLOv5 model for real-time object detection, classification, and loc...

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Bibliographic Details
Main Authors: Luis David Viveros Escamilla, Alfonso Gómez-Espinosa, Jesús Arturo Escobedo Cabello, Jose Antonio Cantoral-Ceballos
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Agriculture
Subjects:
yield estimation
maturity detection
deep learning
computer vision
precision agriculture
sweet peppers
Online Access:https://www.mdpi.com/2077-0472/14/3/331

Internet

https://www.mdpi.com/2077-0472/14/3/331

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