29. Strawberry flower and fruit detection based on an autonomous imaging robot and deep learning-Reference-Cited by-同舟云学术

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29. Strawberry flower and fruit detection based on an autonomous imaging robot and deep learning

Published:2023-07-02 Issue: Volume: Page:
ISSN:
Container-title:Precision agriculture ’23
language:
Short-container-title:

Author:

Zhou C.¹,Lee W.S.¹,Peres N.²,Kim B.S.³,Kim J.H.³,Moon H.C.³

Affiliation:

1. Department of Agricultural and Biological Engineering, University of Florida, Gainesville, FL 32611, USA.

2. Gulf Coast Research and Education Center, University of Florida, Wimauma, FL 33598, USA.

3. Hongik University, Mechanical & System Design Engineering, 94, Wausan-ro, Mapo-gu, Seoul, 04066, South Korea.

Publisher

Wageningen Academic Publishers

Link

https://www.wageningenacademic.com/doi/pdf/10.3920/978-90-8686-947-3_29

Reference9 articles.

1. An yield estimation in citrus orchards via fruit detection and counting using image processing

2. A Method to Predict Weekly Strawberry Fruit Yields from Extended Season Production Systems

3. Automated vision-based system for monitoring Asian citrus psyllid in orchards utilizing artificial intelligence

4. Tzutalin (2015). LabelImg. Free software: MIT license. Available at: https://github.com/tzutalin/labelImg.

5. Towards real-time tracking and counting of seedlings with a one-stage detector and optical flow

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