Rice plant disease classification using color features: a machine learning paradigm

Detection of rice plant diseases based on deep transfer learning

(2020) Junde Chen et al.   JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE

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

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

Anthracnose disease diagnosis by image processing, support vector machine and correlation with pigments

(2019) Mohd Shahanbaj Khan et al.   JOURNAL OF PLANT PATHOLOGY

Impact of Color Spaces and Feature Sets in Automated Plant Diseases Classifier: A Comprehensive Review Based on Rice Plant Images

(2019) Toran Verma et al.   ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING

Depthwise separable convolution architectures for plant disease classification

(2019) Kamal KC et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Plant Disease Detection and Classification by Deep Learning

(2019) Saleem et al.   Plants-Basel

Deep Learning for Plant Stress Phenotyping: Trends and Future Perspectives

(2018) Asheesh Kumar Singh et al.   TRENDS IN PLANT SCIENCE

Rice blast recognition based on principal component analysis and neural network

(2018) Maohua Xiao et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Benefits of hyperspectral imaging for plant disease detection and plant protection: a technical perspective

(2017) Stefan Thomas et al.   Journal of Plant Diseases and Protection

Identification of rice diseases using deep convolutional neural networks

(2017) Yang Lu et al.   NEUROCOMPUTING

A review on the main challenges in automatic plant disease identification based on visible range images

(2016) Jayme Garcia Arnal Barbedo   BIOSYSTEMS ENGINEERING

Logistic Regression

(2016) Juliana Tolles et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Soybean plant foliar disease detection using image retrieval approaches

(2016) Sourabh Shrivastava et al.   MULTIMEDIA TOOLS AND APPLICATIONS

Exploring the color feature power for psoriasis risk stratification and classification: A data mining paradigm

(2015) Vimal K. Shrivastava et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Color sensing and image processing-based automatic soybean plant foliar disease severity detection and estimation

(2014) Sourabh Shrivastava et al.   MULTIMEDIA TOOLS AND APPLICATIONS

Digital image processing techniques for detecting, quantifying and classifying plant diseases

(2013) Jayme Garcia Arnal Barbedo   SpringerPlus

Rice diseases classification using feature selection and rule generation techniques

(2012) Santanu Phadikar et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Pattern recognition method to detect two diseases in rice plants

(2008) P. Sanyal et al.   IMAGING SCIENCE JOURNAL