Identification method of vegetable diseases based on transfer learning and attention mechanism

A deep learning approach for anthracnose infected trees classification in walnut orchards

(2021) A. Anagnostis et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Meta-learning baselines and database for few-shot classification in agriculture

(2021) Yang Li et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Deep learning for the differentiation of downy mildew and spider mite in grapevine under field conditions

(2021) Salvador Gutiérrez et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Identification of maize leaves infected by fall armyworms using UAV-based imagery and convolutional neural networks

(2021) Farian Severine Ishengoma et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Identification of rice plant diseases using lightweight attention networks

(2021) Junde Chen et al.   EXPERT SYSTEMS WITH APPLICATIONS

Recognizing apple leaf diseases using a novel parallel real‐time processing framework based on MASK RCNN and transfer learning: An application for smart agriculture

(2021) Zia ur Rehman et al.   IET Image Processing

Plant diseases recognition on images using convolutional neural networks: A systematic review

(2021) André Abade et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Semi-supervised few-shot learning approach for plant diseases recognition

(2021) Yang Li et al.   Plant Methods

Lightweight convolutional neural network model for field wheat ear disease identification

(2021) Wenxia Bao et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

New perspectives on plant disease characterization based on deep learning

(2020) Sue Han Lee et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

A Recognition Method for Rice Plant Diseases and Pests Video Detection Based on Deep Convolutional Neural Network

(2020) Dengshan Li et al.   SENSORS

Comparison of Convolutional Neural Network Architectures for Classification of Tomato Plant Diseases

(2020) Valeria Maeda-Gutiérrez et al.   Applied Sciences-Basel

Towards weeds identification assistance through transfer learning

(2020) Borja Espejo-Garcia et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Identification and recognition of rice diseases and pests using convolutional neural networks

(2020) Chowdhury R. Rahman et al.   BIOSYSTEMS ENGINEERING

Few-Shot Learning approach for plant disease classification using images taken in the field

(2020) David Argüeso et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Using deep transfer learning for image-based plant disease identification

(2020) Junde Chen et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Squeeze-and-Excitation Networks

(2019) Jie Hu et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Identification of Maize Leaf Diseases Using Improved Deep Convolutional Neural Networks

(2018) Xihai Zhang et al.   IEEE Access

Impact of dataset size and variety on the effectiveness of deep learning and transfer learning for plant disease classification

(2018) Jayme Garcia Arnal Barbedo   COMPUTERS AND ELECTRONICS IN AGRICULTURE

A Survey on Transfer Learning

(2009) Sinno Jialin Pan et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING