Visual detection of green mangoes by an unmanned aerial vehicle in orchards based on a deep learning method-Reference-Cited by-同舟云学术

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Visual detection of green mangoes by an unmanned aerial vehicle in orchards based on a deep learning method

Published:2020-06 Issue: Volume:194 Page:261-272
ISSN:1537-5110
Container-title:Biosystems Engineering
language:en
Short-container-title:Biosystems Engineering

Author:

Xiong Juntao,Liu Zhen,Chen Shumian,Liu Bolin,Zheng Zhenhui,Zhong Zhuo,Yang Zhengang,Peng Hongxing

Funder

National Natural Science Foundation of China

Natural Science Foundation of Guangdong

Publisher

Elsevier BV

Subject

Soil Science,Agronomy and Crop Science,Food Science,Control and Systems Engineering

Reference35 articles.

1. UAV-based high throughput phenotyping in citrus utilizing multispectral imaging and artificial intelligence;Ampatzidis;Remote Sensing,2019

2. Image segmentation for fruit detection and yield estimation in apple orchards;Bargoti;Journal of Field Robotics,2017

3. Robinia pseudoacacia l. flower analyzed by using unmanned aerial vehicle (UAV);Carl;Remote Sensing,2017

4. Development of variable-rate sprayer with laser scanning sensor to synchronize spray outputs to tree structures;Chen;Transactions of the ASABE,2012

5. Tuning retinex parameters;Ciurea,2004

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