Deep convolutional neural networks for estimating maize above-ground biomass using multi-source UAV images: a comparison with traditional machine learning algorithms Article Swipe

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Danyang Yu , Yuanyuan Zha , Zhigang Sun , Jing Li , Xiuliang Jin , Wanxue Zhu , Jiang Bian , Li Ma , Yijian Zeng , Zhongbo Su ·

YOU? · · 2022 · Open Access · · DOI: https://doi.org/10.1007/s11119-022-09932-0

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Convolutional Neural Network

Computer Science

Artificial Intelligence

Support Vector Machine

Precision Agriculture

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Multispectral image RGB color model Convolutional neural network Computer science Artificial intelligence Robustness (evolution) Support vector machine Adaptability Precision agriculture Random forest Remote sensing Pattern recognition (psychology) Algorithm Agriculture Ecology Biology Biochemistry Geology Gene

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Type: article
Language: en
Landing Page: https://doi.org/10.1007/s11119-022-09932-0
OA Status: green
Cited By: 61
References: 54
Related Works: 10
OpenAlex ID: https://openalex.org/W4283768492

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DOI: https://doi.org/10.1007/s11119-022-09932-0

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Title: Deep convolutional neural networks for estimating maize above-ground biomass using multi-source UAV images: a comparison with traditional machine learning algorithms

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Type: article

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Language: en

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Publication year: 2022

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Publication date: 2022-07-02

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Authors: Danyang Yu, Yuanyuan Zha, Zhigang Sun, Jing Li, Xiuliang Jin, Wanxue Zhu, Jiang Bian, Li Ma, Yijian Zeng, Zhongbo Su

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Landing page: https://doi.org/10.1007/s11119-022-09932-0

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OA URL: https://research.utwente.nl/en/publications/d7ad8bc1-902a-4baa-ab83-b75d81b3db53

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Concepts: Multispectral image, RGB color model, Convolutional neural network, Computer science, Artificial intelligence, Robustness (evolution), Support vector machine, Adaptability, Precision agriculture, Random forest, Remote sensing, Pattern recognition (psychology), Algorithm, Agriculture, Ecology, Biology, Biochemistry, Geology, Gene

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Cited by: 61

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Citations by year (recent): 2025: 26, 2024: 27, 2023: 7, 2022: 1

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