Estimation of Mango Fruit Production Using Image Analysis and Machine Learning Algorithms
Mango production is fundamental to the agricultural economy, generating income and employment in various communities. Accurate estimation of its production optimizes the planning and logistics of harvesting; traditionally, manual methods are inefficient and prone to errors. Currently, machine learni...
Saved in:
Main Authors: | Liliana Arcila-Diaz, Heber I. Mejia-Cabrera, Juan Arcila-Diaz |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2024-11-01
|
Series: | Informatics |
Subjects: | |
Online Access: | https://www.mdpi.com/2227-9709/11/4/87 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Classification of Coconut Trees Within Plantations from UAV Images Using Deep Learning with Faster R-CNN and Mask R-CNN
by: Morakot Worachairungreung, et al.
Published: (2024-12-01) -
Face mask identification with enhanced cuckoo optimization and deep learning-based faster regional neural network
by: Binay Kumar Pandey, et al.
Published: (2024-11-01) -
Application of Mask R-CNN and YOLOv8 Algorithms for Concrete Crack Detection
by: Yongjin Choi, et al.
Published: (2024-01-01) -
Optimization of Imaging Reconnaissance Systems Using Super-Resolution: Efficiency Analysis in Interference Conditions
by: Marta Bistroń, et al.
Published: (2024-12-01) -
Application of Faster R-CNN Deep Learning Method for Rice Plant Disease Detection
by: Halim Pujiono, et al.
Published: (2024-12-01)