A deep learning‐based method for classification, detection, and localization of weeds in turfgrass-Reference-Cited by-同舟云学术

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A deep learning‐based method for classification, detection, and localization of weeds in turfgrass

Published:2022-08-11 Issue:11 Volume:78 Page:4809-4821
ISSN:1526-498X
Container-title:Pest Management Science
language:en
Short-container-title:Pest Management Science

Author:

Jin Xiaojun¹²^ORCID,Bagavathiannan Muthukumar³^ORCID,McCullough Patrick E⁴,Chen Yong¹,Yu Jialin²

Affiliation:

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

2. Peking University Institute of Advanced Agricultural Sciences, Shandong Laboratory of Advanced Agricultural Sciences Weifang Shandong China

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

4. Department of Crop and Soil Sciences University of Georgia Griffin GA USA

Funder

Jiangsu Agricultural Science and Technology Innovation Fund

National Natural Science Foundation of China

Publisher

Wiley

Subject

Insect Science,Agronomy and Crop Science,General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/ps.7102

Reference51 articles.

1. Use of herbicides on turfgrass

2. Analysis of the variability of pesticide concentration downstream of inline mixers for direct nozzle injection systems

3. Environmental and Economic Costs of the Application of Pesticides Primarily in the United States

4. Seashore Paspalum (Paspalum vaginatum) Tolerance to Pronamide Applications for Annual Bluegrass Control

5. Efficacy and Fate of Atrazine and Simazine in Doveweed (Murdannia nudiflora)

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