Applying deep neural networks to predict incidence and phenology of plant pests and diseases-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Applying deep neural networks to predict incidence and phenology of plant pests and diseases

Published:2021-10 Issue:10 Volume:12 Page:
ISSN:2150-8925
Container-title:Ecosphere
language:en
Short-container-title:Ecosphere

Author:

Grünig Marc¹²^ORCID,Razavi Elisabeth¹,Calanca Pierluigi³,Mazzi Dominique¹,Wegner Jan Dirk⁴⁵,Pellissier Loïc²⁶

Affiliation:

1. Agroscope RD Plant Protection Wädenswil Switzerland

2. Landscape Ecology ETH Zurich Zurich Switzerland

3. Agroscope RD Agroecology and Environment Zurich Switzerland

4. EcoVision Lab ETH Zurich Zurich Switzerland

5. Institute for Computational Science University of Zurich Zurich Switzerland

6. Swiss Federal Research Institute WSL Birmensdorf Switzerland

Publisher

Wiley

Subject

Ecology,Ecology, Evolution, Behavior and Systematics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/ecs2.3791

Reference78 articles.

1. Allaire J. J. andF.Chollet.2019.keras: R interface to 'Keras'. R package version 2.2.5.0.https://CRAN.R‐project.org/package=keras

2. Allaire J. J. andY.Tang.2019.tensorflow: R Interface to 'TensorFlow'. R package version 2.0.0.https://CRAN.R‐project.org/package=tensorflow

3. Solving Current Limitations of Deep Learning Based Approaches for Plant Disease Detection

4. Factors influencing the use of deep learning for plant disease recognition

5. Crop pests and pathogens move polewards in a warming world

Cited by 15 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Critical Review of RNN and LSTM Variants in Hydrological Time Series Predictions;MethodsX;2024-09

2. Advancing plant biology through deep learning-powered natural language processing;Plant Cell Reports;2024-08

3. Prediction of fruit characteristics of grafted plants of Camellia oleifera by deep neural networks;Plant Methods;2024-02-04

4. Automatic classification of parasitized fruit fly pupae from X-ray images by convolutional neural networks;Ecological Informatics;2023-12

5. Deep learning and computer vision for leaf miner infestation severity detection on muskmelon (Cucumis melo) leaves;Computers and Electrical Engineering;2023-09

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3