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。The future of Internet of Things in agriculture: Plant high-throughput phenotypic platform
Jiangchuan Fan et al.
JOURNAL OF CLEANER PRODUCTION (2021)
Development of an automated plant phenotyping system for evaluation of salt tolerance in soybean
Shuiqin Zhou et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2021)
Plant diseases and pests detection based on deep learning: a review
Jun Liu et al.
PLANT METHODS (2021)
Identification of cucumber leaf diseases using deep learning and small sample size for agricultural Internet of Things
Jingyao Zhang et al.
INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS (2021)
Structural Analysis and Optimization of Convolutional Neural Networks with a Small Sample Size
Rhett N. D'souza et al.
SCIENTIFIC REPORTS (2020)
Assessment of rice leaf blast severity using hyperspectral imaging during late vegetative growth
GuoSheng Zhang et al.
AUSTRALASIAN PLANT PATHOLOGY (2020)
Automated trichome counting in soybean using advanced image-processing techniques
Seyed Vahid Mirnezami et al.
APPLICATIONS IN PLANT SCIENCES (2020)
A review of computer vision technologies for plant phenotyping
Zhenbo Li et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2020)
Image-Based, Organ-Level Plant Phenotyping for Wheat Improvement
Cody S. Bekkering et al.
AGRONOMY-BASEL (2020)
Effective Complex Airport Object Detection in Remote Sensing Images Based on Improved End-to-End Convolutional Neural Network
Yongsai Han et al.
IEEE ACCESS (2020)
Image based fruit category classification by 13-layer deep convolutional neural network and data augmentation
Yu-Dong Zhang et al.
MULTIMEDIA TOOLS AND APPLICATIONS (2019)
A comparative study of fine-tuning deep learning models for plant disease identification
Edna Chebet Too et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2019)
Evolution of Internet of Things (IoT) and its significant impact in the field of Precision Agriculture
Abhishek Khanna et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2019)
Analysis of transfer learning for deep neural network based plant classification models
Aydin Kaya et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2019)
Transfer learning with convolutional neural networks for small sample size problem in machinery fault diagnosis
Dengyu Xiao et al.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE (2019)
A Comparison of Shallow and Deep Learning Methods for Predicting Cognitive Performance of Stroke Patients From MRI Lesion Images
Sucheta Chauhan et al.
FRONTIERS IN NEUROINFORMATICS (2019)
Postnatal gestational age estimation of newborns using Small Sample Deep Learning
Mercedes Torres Torres et al.
IMAGE AND VISION COMPUTING (2019)
Pulmonary Image Classification Based on Inception-v3 Transfer Learning Model
Cheng Wang et al.
IEEE ACCESS (2019)
Deployment of multistatic radar system using multi-objective particle swarm optimisation
Yichuan Yang et al.
IET RADAR SONAR AND NAVIGATION (2018)
Antenna deployment method for multistatic radar under the situation of multiple regions for interference
Tianxian Zhang et al.
SIGNAL PROCESSING (2018)
Deep Learning: Individual Maize Segmentation From Terrestrial Lidar Data Using Faster R-CNN and Regional Growth Algorithms
Shichao Jin et al.
FRONTIERS IN PLANT SCIENCE (2018)
Deep Learning for Computer Vision: A Brief Review
Athanasios Voulodimos et al.
COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE (2018)
Predicting plant biomass accumulation from image-derived parameters
Dijun Chen et al.
GIGASCIENCE (2018)
A recognition method for cucumber diseases using leaf symptom images based on deep convolutional neural network
Juncheng Ma et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2018)
Classification and mutation prediction from non-small cell lung cancer histopathology images using deep learning
Nicolas Coudray et al.
NATURE MEDICINE (2018)
Deep phenotyping: deep learning for temporal phenotype/genotype classification
Sarah Taghavi Namin et al.
PLANT METHODS (2018)
In silico design of MHC class I high binding affinity peptides through motifs activation map
Zhoujian Xiao et al.
BMC BIOINFORMATICS (2018)
Bistatic Forward-Looking SAR Focusing Using omega-k Based on Spectrum Modeling and Optimization
Junjie Wu et al.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2018)
Integrating Multilayer Features of Convolutional Neural Networks for Remote Sensing Scene Classification
Erzhu Li et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2017)
Deep Plant Phenomics: A Deep Learning Platform for Complex Plant Phenotyping Tasks
Jordan R. Ubbens et al.
FRONTIERS IN PLANT SCIENCE (2017)
Weed detection in soybean crops using ConvNets
Alessandro dos Santos Ferreira et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2017)
Research on the Deep Learning of the Small Sample Data based on Transfer Learning
Wei Zhao
GREEN ENERGY AND SUSTAINABLE DEVELOPMENT I (2017)
ImageNet Classification with Deep Convolutional Neural Networks
Alex Krizhevsky et al.
COMMUNICATIONS OF THE ACM (2017)
Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?
Nima Tajbakhsh et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2016)
Transfer Learning Improves Supervised Image Segmentation Across Imaging Protocols
Annegreet van Opbroek et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2015)
Conventional digital cameras as a tool for assessing leaf area index and biomass for cereal breeding
Jaume Casadesus et al.
JOURNAL OF INTEGRATIVE PLANT BIOLOGY (2014)
A Survey on Transfer Learning
Sinno Jialin Pan et al.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2010)
分享论文
