Evaluation of different deep convolutional neural networks for detection of broadleaf weed seedlings in wheat-Reference-Cited by-同舟云学术

Evaluation of different deep convolutional neural networks for detection of broadleaf weed seedlings in wheat

Published:2021-10-05 Issue:2 Volume:78 Page:521-529
ISSN:1526-498X
Container-title:Pest Management Science
language:en
Short-container-title:Pest Management Science

Author:

Zhuang Jiayao¹,Li Xuehan¹,Bagavathiannan Muthukumar²^ORCID,Jin Xiaojun³^ORCID,Yang Jie³,Meng Wenting¹,Li Tao¹,Li Lanxi¹,Wang Yundi⁴,Chen Yong³,Yu Jialin¹²^ORCID

Affiliation:

1. Co‐Innovation Center for sustainable Forestry in Southern China Nanjing Forestry University Nanjing China

2. Department of Soil and Crop Sciences Texas A&M University College Station TX USA

3. College of Mechanical and Electronic Engineering Nanjing Forestry University Nanjing China

4. Department of Computer Science Stevens Institute of Technology Hoboken NJ USA

Publisher

Wiley

Subject

Insect Science,Agronomy and Crop Science,General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/ps.6656

Reference58 articles.

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4. Bipyrazone: a new HPPD‐inhibiting herbicide in wheat;Wang H;Sci Rep,2020

5. Study of postemergence‐directed herbicides for redroot pigweed (Amaranthus retroflexus L.) control in winter wheat in southern Russia;Zargar M;J Plant Prot Res,2020

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