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。Crop pest recognition in natural scenes using convolutional neural networks
Yanfen Li et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2020)
Few-shot cotton pest recognition and terminal realization
Yang Li et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2020)
Deep Learning for Mango (Mangifera indica) Panicle Stage Classification
Anand Koirala et al.
AGRONOMY-BASEL (2020)
Automatic Detection and Monitoring of Insect Pests-A Review
Matheus Cardim Ferreira Lima et al.
AGRICULTURE-BASEL (2020)
Quality Evaluation of Potato Tubers Using Neural Image Analysis Method
Andrzej Przybylak et al.
AGRICULTURE-BASEL (2020)
A comparative study of fine-tuning deep learning models for plant disease identification
Edna Chebet Too et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2019)
Continual lifelong learning with neural networks: A review
German I. Parisi et al.
NEURAL NETWORKS (2019)
Crop pest classification based on deep convolutional neural network and transfer learning
K. Thenmozhi et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2019)
Deep Metric Learning: A Survey
Mahmut Kaya et al.
SYMMETRY-BASEL (2019)
Automatic Classification of Chickpea Varieties Using Computer Vision Techniques
Razieh Pourdarbani et al.
AGRONOMY-BASEL (2019)
Crop Organ Segmentation and Disease Identification Based on Weakly Supervised Deep Neural Network
Yang Wu et al.
AGRONOMY-BASEL (2019)
On farm automatic sheep breed classification using deep learning
Sanabel Abu Jwade et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2019)
Fine-tuning convolutional neural network with transfer learning for semantic segmentation of ground-level oilseed rape images in a field with high weed pressure
Alwaseela Abdalla et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2019)
Real-time classification of weeds in organic carrot production using deep learning algorithms
Florian J. Knoll et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2019)
Looking to the future: Learning from experience, averting catastrophe
Gail A. Carpenter
NEURAL NETWORKS (2019)
Deep learning in agriculture: A survey
Andreas Kamilaris et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2018)
Deep learning models for plant disease detection and diagnosis
Konstantinos P. Ferentinos
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2018)
Multi-level learning features for automatic classification of field crop pests
Chengjun Xie et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2018)
Class-balanced siamese neural networks
Samuel Berlemont et al.
NEUROCOMPUTING (2018)
Plant identification using deep neural networks via optimization of transfer learning parameters
Mostafa Mehdipour Ghazi et al.
NEUROCOMPUTING (2017)
Identification of rice diseases using deep convolutional neural networks
Yang Lu et al.
NEUROCOMPUTING (2017)
A survey on image-based insect classification
Chloe Martineau et al.
PATTERN RECOGNITION (2017)
Localization and Classification of Paddy Field Pests using a Saliency Map and Deep Convolutional Neural Network
Ziyi Liu et al.
SCIENTIFIC REPORTS (2016)
A new automatic identification system of insect images at the order level
Jiangning Wang et al.
KNOWLEDGE-BASED SYSTEMS (2012)
Evidence for large long-term memory capacities in baboons and pigeons and its implications for learning and the evolution of cognition
Joel Fagott et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2006)
Long-term dendritic spine stability in the adult cortex
J Grutzendler et al.
NATURE (2002)
分享论文
