Lightweight Inception Networks for the Recognition and Detection of Rice Plant Diseases

Cost-optimized hybrid convolutional neural networks for detection of plant leaf diseases

(2021) Adem Tuncer   Journal of Ambient Intelligence and Humanized Computing

Grape Disease Detection Network Based on Multi-Task Learning and Attention Features

(2021) Rudresh Dwivedi et al.   IEEE SENSORS JOURNAL

Fingerprint pre-processing and feature engineering to enhance agricultural products categorization

(2021) Shajunyi Zhao et al.   Future Generation Computer Systems-The International Journal of eScience

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

Deep feature based rice leaf disease identification using support vector machine

(2020) Prabira Kumar Sethy 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

PD2SE-Net: Computer-assisted plant disease diagnosis and severity estimation network

(2019) Qiaokang Liang et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Identification of plant leaf diseases using a nine-layer deep convolutional neural network

(2019) Geetharamani G. et al.   COMPUTERS & ELECTRICAL ENGINEERING

Crack detection of plastic gears using a convolutional neural network pre-learned from images of meshing vibration data with transfer learning

(2019) B. H. Kien et al.   FORSCHUNG IM INGENIEURWESEN-ENGINEERING RESEARCH

Recognizing learning emotion based on convolutional neural networks and transfer learning

(2019) Jason C. Hung et al.   APPLIED SOFT COMPUTING

Image processing based rice plant leaves diseases in Thanjavur, Tamilnadu

(2018) T. Gayathri Devi et al.   Cluster Computing-The Journal of Networks Software Tools and Applications

Deep learning models for plant disease detection and diagnosis

(2018) Konstantinos P. Ferentinos   COMPUTERS AND ELECTRONICS IN AGRICULTURE

End-to-end recognition of slab identification numbers using a deep convolutional neural network

(2017) Sang Jun Lee et al.   KNOWLEDGE-BASED SYSTEMS

Identification of rice diseases using deep convolutional neural networks

(2017) Yang Lu et al.   NEUROCOMPUTING

A study on continuous authentication using a combination of keystroke and mouse biometrics

(2017) Soumik Mondal et al.   NEUROCOMPUTING

Developing an Index for Detection and Identification of Disease Stages

(2016) Davoud Ashourloo et al.   IEEE Geoscience and Remote Sensing Letters

Medical Image Analysis – past, present, and future

(2016) William M. Wells   MEDICAL IMAGE ANALYSIS

Extreme learning machine and adaptive sparse representation for image classification

(2016) Jiuwen Cao et al.   NEURAL NETWORKS

ImageNet Large Scale Visual Recognition Challenge

(2015) Olga Russakovsky et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION

Computer-based detection and classification of flaws in citrus fruits

(2010) Jose J. Lopez et al.   NEURAL COMPUTING & APPLICATIONS