Cotton Growth Stages Detection Using Fine-Tuned YOLOv8 Deep Learning Model-Reference-Cited by-同舟云学术

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Cotton Growth Stages Detection Using Fine-Tuned YOLOv8 Deep Learning Model

Published:2024-04-24 Issue: Volume: Page:20-25
ISSN:
Container-title:2024 8th International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence (ISMSI)
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Author:

Verma Pooja¹^ORCID,Paul Ayan²^ORCID,Machavaram Rajendra²^ORCID,Bhattacharya Mahua³^ORCID

Affiliation:

1. Advanced Technology Development Centre, Indian Institute of Technology Kharagpur, India

2. Agricultural and Food Engineering Department, Indian Institute of Technology Kharagpur, India

3. Department of Computer Science and Information Technology, ABV Indian Institute of Information Technology and Management Gwalior, India

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3665065.3665069

Reference18 articles.

1. [1] Tian, Yunong, Guodong Yang, Zhe Wang, Hao Wang, En Li, and Zize Liang. "Apple detection during different growth stages in orchards using the improved YOLO-V3 model." Computers and electronics in agriculture 157 (2019): 417-426.

2. A visual identification method for the apple growth forms in the orchard

3. Fruit detection for strawberry harvesting robot in non-structural environment based on Mask-RCNN

4. Apple flower detection using deep convolutional networks

5. Multi-class fruit-on-plant detection for apple in SNAP system using Faster R-CNN

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