Academic Journal
Maturity Recognition and Fruit Counting for Sweet Peppers in Greenhouses Using Deep Learning Neural Networks
| العنوان: | Maturity Recognition and Fruit Counting for Sweet Peppers in Greenhouses Using Deep Learning Neural Networks |
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| المؤلفون: | Luis David Viveros Escamilla, Alfonso Gómez-Espinosa, Jesús Arturo Escobedo Cabello, Jose Antonio Cantoral-Ceballos |
| المصدر: | Agriculture, Vol 14, Iss 3, p 331 (2024) |
| بيانات النشر: | MDPI AG |
| سنة النشر: | 2024 |
| المجموعة: | Directory of Open Access Journals: DOAJ Articles |
| مصطلحات موضوعية: | yield estimation, maturity detection, deep learning, computer vision, precision agriculture, sweet peppers, Agriculture (General), S1-972 |
| الوصف: | 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 localization, coupled with the DeepSORT algorithm for efficient tracking. The system was successfully implemented to monitor sweet pepper production, and some challenges related to this environment, namely occlusions and the presence of leaves and branches, were effectively overcome. We evaluated our algorithm using real-world data collected in a sweet pepper greenhouse. A dataset comprising 1863 images was meticulously compiled to enhance the study, incorporating diverse sweet pepper varieties and maturity levels. Additionally, the study emphasized the role of confidence levels in object recognition, achieving a confidence level of 0.973. Furthermore, the DeepSORT algorithm was successfully applied for counting sweet peppers, demonstrating an accuracy level of 85.7% in two simulated environments under challenging conditions, such as varied lighting and inaccuracies in maturity level assessment. |
| نوع الوثيقة: | article in journal/newspaper |
| اللغة: | English |
| تدمد: | 2077-0472 |
| Relation: | https://www.mdpi.com/2077-0472/14/3/331; https://doaj.org/toc/2077-0472; https://doaj.org/article/4ba1316f725647a09a3d6dd68e0e1403 |
| DOI: | 10.3390/agriculture14030331 |
| الاتاحة: | https://doi.org/10.3390/agriculture14030331 https://doaj.org/article/4ba1316f725647a09a3d6dd68e0e1403 |
| رقم الانضمام: | edsbas.9613DF6D |
| قاعدة البيانات: | BASE |
Full Text Finder | تدمد: | 20770472 |
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| DOI: | 10.3390/agriculture14030331 |