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。Learning niche features to improve image-based species identification
Congtian Lin et al.
ECOLOGICAL INFORMATICS (2021)
Deep learning and computer vision will transform entomology
Toke T. Hoye et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2021)
Effect of grape seed proanthocyanidins on activity of HaCaT cells in mice based on deep learning image processing
Feng Xu et al.
TECHNOLOGY AND HEALTH CARE (2021)
A Bayesian assessment of tumour prevalence in brown bullhead and white sucker from the Canadian waters of the Great Lakes
Ariola Visha et al.
JOURNAL OF GREAT LAKES RESEARCH (2021)
RGDiNet: Efficient Onboard Object Detection with Faster R-CNN for Air-to-Ground Surveillance
Jongwon Kim et al.
SENSORS (2021)
A systematic literature review on applications of information and communication technologies and blockchain technologies for precision agriculture development
Wei Liu et al.
JOURNAL OF CLEANER PRODUCTION (2021)
Detection and localization of hand fractures based on GA_Faster R-CNN
Linyan Xue et al.
ALEXANDRIA ENGINEERING JOURNAL (2021)
Crop pest recognition in natural scenes using convolutional neural networks
Yanfen Li et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2020)
A Recognition Method for Rice Plant Diseases and Pests Video Detection Based on Deep Convolutional Neural Network
Dengshan Li et al.
SENSORS (2020)
Identification and recognition of rice diseases and pests using convolutional neural networks
Chowdhury R. Rahman et al.
BIOSYSTEMS ENGINEERING (2020)
Identification of tea foliar diseases and pest damage under practical field conditions using a convolutional neural network
Sheng-Hung Lee et al.
PLANT PATHOLOGY (2020)
Analysis of Behavior Trajectory Based on Deep Learning in Ammonia Environment for Fish
Wenkai Xu et al.
SENSORS (2020)
Improvement on the genetic engineering of an invasive agricultural pest insect, the cherry vinegar fly, Drosophila suzukii
Hassan M. M. Ahmed et al.
BMC GENETICS (2020)
Efficacy of an adhesive nanopesticide on insect pests of rice in field trials
Yunhao Gao et al.
JOURNAL OF ASIA-PACIFIC ENTOMOLOGY (2020)
A robot system equipped with deep convolutional neural network for autonomous grading and sorting of root-trimmed garlics
Dang Quoc Thuyet et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2020)
Evaluation of augmentative biological control strategy against major borer insect pests of sugarcane-a large-scale field appraisal
Sudhendu Sharma et al.
EGYPTIAN JOURNAL OF BIOLOGICAL PEST CONTROL (2020)
Detection and Analysis of Behavior Trajectory for Sea Cucumbers Based on Deep Learning
Juan Li et al.
IEEE ACCESS (2020)
Recognition pest by image-based transfer learning
Wang Dawei et al.
JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE (2019)
Cartogramming uncertainty in species distribution models: A Bayesian approach
Duccio Rocchini et al.
ECOLOGICAL COMPLEXITY (2019)
Influence of image quality on the identification of psyllids using convolutional neural networks
Jayme G. A. Barbedo et al.
BIOSYSTEMS ENGINEERING (2019)
Automated machine learning for identification of pest aphid species (Hemiptera: Aphididae)
Masayuki Hayashi et al.
APPLIED ENTOMOLOGY AND ZOOLOGY (2019)
Crop pest classification based on deep convolutional neural network and transfer learning
K. Thenmozhi et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2019)
Pixel-level aflatoxin detecting based on deep learning and hyperspectral imaging
Zhongzhi Han et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2019)
Multiview Generative Adversarial Network and Its Application in Pearl Classification
Qi Xuan et al.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2019)
Ensemble deep kernel learning with application to quality prediction in industrial polymerization processes
Yi Liu et al.
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS (2018)
Flame Images for Oxygen Content Prediction of Combustion Systems Using DBN
Yi Liu et al.
ENERGY & FUELS (2017)
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Shaoqing Ren et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2017)
Pest identification via deep residual learning in complex background
Xi Cheng et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2017)
Automatic moth detection from trap images for pest management
Weiguang Ding et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2016)
Identification of butterfly based on their shapes when viewed from different angles using an artificial neural network
Seung-Ho Kang et al.
JOURNAL OF ASIA-PACIFIC ENTOMOLOGY (2014)
Application of artificial neural network for automatic detection of butterfly species using color and texture features
Yilmaz Kaya et al.
VISUAL COMPUTER (2014)
Identification of butterfly species with a single neural network system
Seung-Ho Kang et al.
JOURNAL OF ASIA-PACIFIC ENTOMOLOGY (2012)