Crop Detection and Maturity Classification Using a YOLOv5-Based Image Analysis
In recent years, the accurate identification of chili maturity stages has become essential for optimizing cultivation processes. Conventional methodologies, primarily reliant on manual assessments or rudimentary detection systems, often fall short of reflecting the plant’s natural environment, leadi...
Main Authors: | Viviana Moya, Angélica Quito, Andrea Pilco, Juan P. Vásconez, Christian Vargas |
---|---|
Format: | Article |
Language: | English |
Published: |
Ital Publication
2024-04-01
|
Series: | Emerging Science Journal |
Subjects: | |
Online Access: | https://www.ijournalse.org/index.php/ESJ/article/view/2115 |
Similar Items
-
Comparing YOLOv3, YOLOv4 and YOLOv5 for Autonomous Landing Spot Detection in Faulty UAVs
by: Upesh Nepal, et al.
Published: (2022-01-01) -
A novel method for dried chili pepper classification using artificial intelligence
by: O. Cruz-Domínguez, et al.
Published: (2021-03-01) -
An Improved YOLOv5 Algorithm for Drowning Detection in the Indoor Swimming Pool
by: Ruiliang Yang, et al.
Published: (2023-12-01) -
Strawberry Maturity Recognition Based on Improved YOLOv5
by: Zhiqing Tao, et al.
Published: (2024-02-01) -
Consumer Preferences of Jalapeño Pepper in the Mexican Market
by: Blanca Isabel Sánchez Toledano, et al.
Published: (2023-06-01)