Deep learning-based Mango Fruit Detection and Counting
Author:
Affiliation:
1. Chulalongkorn University,Department of Computer Engineering,Bangkok,Thailand
2. Graduate School of Management and Innovation, King Mongkut's University of Technology Thonburi,Bangkok,Thailand
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10594802/10594778/10594843.pdf?arnumber=10594843
Reference19 articles.
1. Machine Learning Approaches to Corn Yield Estimation Using Satellite Images and Climate Data: A Case of Iowa State
2. Intelligent Fruit Yield Estimation for Orchards Using Deep Learning Based Semantic Segmentation Techniques—A Review
3. A Cloud-Based Environment for Generating Yield Estimation Maps From Apple Orchards Using UAV Imagery and a Deep Learning Technique
4. Estimation of Fruit Load in Australian Mango Orchards Using Machine Vision
5. Detection and Counting of Small Target Apples under Complicated Environments by Using Improved YOLOv7-tiny
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