Seeing the Fruit for the Leaves: Robotically Mapping Apple Fruitlets in a Commercial Orchard-Reference-Cited by-同舟云学术

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Seeing the Fruit for the Leaves: Robotically Mapping Apple Fruitlets in a Commercial Orchard

Published:2023-10-01 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
language:
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Author:

Qureshi Ans¹,Smith David¹,Gee Trevor¹,Nejati Mahla¹,Shahabi Jalil¹,Lim JongYoon¹,Ahn Ho Seok¹,McGuinness Ben²,Downes Catherine²,Jangali Rahul²,Black Kale²,Lim Hin²,Duke Mike²,MacDonald Bruce¹,Williams Henry¹

Affiliation:

1. Centre for Automation and Robotic Engineering Science, The University of Auckland,New Zealand

2. School of Engineering, University of Waikato,Hamilton,New Zealand

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10341341/10341342/10341502.pdf?arnumber=10341502

Reference21 articles.

1. Seeing the fruit for the leaves: Towards automated apple fruitlet thinning;A. Q.,2022

2. Agriculture Data Analytics in Crop Yield Estimation: A Critical Review

3. Deep learning – Method overview and review of use for fruit detection and yield estimation

4. Seasonal crop yield forecast: Methods, applications, and accuracies

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