☆ 4.7 Article

Species Identification of Caterpillar Eggs by Machine Learning Using a Convolutional Neural Network and Massively Parallelized Microscope

AGRICULTURE-BASEL (2022)

相关参考文献

注意：仅列出部分参考文献，下载原文获取全部文献信息。

Article Geochemistry & Geophysics

Convolutional Neural Networks for Multimodal Remote Sensing Data Classification

Xin Wu et al.

Summary: This paper proposes a new framework for multimodal remote sensing data classification, using deep learning and a cross-channel reconstruction module to learn compact fusion representations of different data sources. Extensive experiments on two multimodal RS datasets demonstrate the effectiveness and superiority of the proposed method.

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2022)

添加到收藏夹

Article Entomology

Best Management Practices to Delay the Evolution of Bt Resistance in Lepidopteran Pests Without High Susceptibility to Bt Toxins in North America

Dominic D. Reisig et al.

Summary: This article highlights the presence of lepidopteran pests with low susceptibility in Bt crops and the risks of not following resistance management plans. It proposes five best management practices to delay the evolution of Bt resistance in these pests and emphasizes the need for better understanding of resistance potential and effective monitoring programs.

JOURNAL OF ECONOMIC ENTOMOLOGY (2022)

添加到收藏夹

Article Environmental Sciences

RCE-GAN: A Rebar Clutter Elimination Network to Improve Tunnel Lining Void Detection from GPR Images

Yuanzheng Wang et al.

Summary: In this work, a method for improving the identification of tunnel lining voids using a rebar clutter elimination network (RCE-GAN) based on generative adversarial networks is proposed. The network utilizes cycle-consistency loss to learn high-level features between unpaired GPR images and includes attention module and dilation center part to enhance performance. Validation on synthetic and real-world GPR images demonstrates the potential of the proposed method for its lower demand on the training dataset and improvement in the identification of tunnel lining voids.

REMOTE SENSING (2022)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Machine learning ensemble with image processing for pest identification and classification in field crops

Thenmozhi Kasinathan et al.

Summary: The research focuses on classifying crop insects using machine vision and knowledge-based techniques, utilizing various feature descriptors like texture, color, shape, HOG, and GIST. The combination of these features, along with ensemble classifiers and majority voting, improved classification accuracy in identifying insects during attacks in field crops.

NEURAL COMPUTING & APPLICATIONS (2021)

添加到收藏夹

Article Multidisciplinary Sciences

Advances in automatic identification of flying insects using optical sensors and machine learning

Carsten Kirkeby et al.

Summary: Farmers around the world utilize optical sensors combined with machine learning to classify flying insects in order to optimize the application of insecticides. This technological advancement enables a precise and environmentally-sensitive use of pesticides in agriculture, leading to improved crop yield and pest control.

SCIENTIFIC REPORTS (2021)

添加到收藏夹

Article Entomology

Economic Injury Levels for Bt-resistant Helicoverpa zea (Lepidoptera: Noctuidae) in Cotton

Alejandro I. Del Pozo-Valdivia et al.

Summary: This study investigated the impact of different Bt cotton varieties on Helicoverpa zea populations, finding varying responses and suggesting that current economic thresholds for this pest may be too high. Further research on resistance evolution could inform future threshold development.

JOURNAL OF ECONOMIC ENTOMOLOGY (2021)

添加到收藏夹

Article Geochemistry & Geophysics

More Diverse Means Better: Multimodal Deep Learning Meets Remote-Sensing Imagery Classification

Danfeng Hong et al.

Summary: This study introduces a general multimodal deep learning (MDL) framework for the classification and identification challenges in geoscience and remote sensing. By investigating a special case of multi-modality learning (MML), the study presents five fusion strategies and demonstrates how to train deep networks and build network architectures effectively. Experimental results on two different multimodal RS data sets confirm the efficiency and advantages of the proposed MDL framework.

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2021)

添加到收藏夹

Article Entomology

Mosquito-Textile Physics: A Mathematical Roadmap to Insecticide-Free, Bite-Proof Clothing for Everyday Life

Kun Luan et al.

Summary: Researchers have developed non-insecticidal cloth and garments that effectively prevent mosquito bites, with good comfort and protection; they have developed prototype textiles and garments that resist biting from Aedes aegypti mosquitoes based on a mathematical model and experimental validation, showing higher bite resistance compared to insecticide-treated clothing.

INSECTS (2021)

添加到收藏夹

Article Agriculture, Multidisciplinary

Automatic identification of insects from digital images: A survey

Telmo De Cesaro Junior et al.

COMPUTERS AND ELECTRONICS IN AGRICULTURE (2020)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Bankruptcy prediction using imaged financial ratios and convolutional neural networks

Tadaaki Hosaka

EXPERT SYSTEMS WITH APPLICATIONS (2019)

添加到收藏夹

Article Biology

Domain-specific classification-pretrained fully convolutional network encoders for skin lesion segmentation

Philipp Tschandl et al.

COMPUTERS IN BIOLOGY AND MEDICINE (2019)

添加到收藏夹

Article Agriculture, Multidisciplinary

Big data and machine learning for crop protection

Ryan H. L. Ip et al.

COMPUTERS AND ELECTRONICS IN AGRICULTURE (2018)

添加到收藏夹

Article Entomology

Long-Term Empirical and Observational Evidence of Practical Helicoverpa zea Resistance to Cotton With Pyramided Bt Toxins

Dominic D. Reisig et al.

JOURNAL OF ECONOMIC ENTOMOLOGY (2018)

添加到收藏夹

Article Computer Science, Hardware & Architecture

ImageNet Classification with Deep Convolutional Neural Networks

Alex Krizhevsky et al.

COMMUNICATIONS OF THE ACM (2017)

添加到收藏夹

Article Multidisciplinary Sciences

Field-Evolved Resistance in Corn Earworm to Cry Proteins Expressed by Transgenic Sweet Corn

Galen P. Dively et al.

PLOS ONE (2016)

添加到收藏夹

Article Multidisciplinary Sciences

Foldscope: Origami-Based Paper Microscope

James S. Cybulski et al.

PLOS ONE (2014)

添加到收藏夹

Article Biotechnology & Applied Microbiology

Helicoverpa zea and Bt Cotton in the United States

Randall G. Luttrell et al.

GM Crops & Food-Biotechnology in Agriculture and the Food Chain (2012)

添加到收藏夹

Article Biotechnology & Applied Microbiology

Insect resistance to Bt crops:: evidence versus theory

Bruce E. Tabashnik et al.

NATURE BIOTECHNOLOGY (2008)

添加到收藏夹

Article Operations Research & Management Science

A tutorial on the cross-entropy method

PT De Boer et al.

ANNALS OF OPERATIONS RESEARCH (2005)

添加到收藏夹

© Peeref 2019-2024. All rights reserved.