Machine Learning and Deep Learning Based Computational Techniques in Automatic Agricultural Diseases Detection: Methodologies, Applications, and Challenges

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

(2020) Dengshan Li et al.   SENSORS

Deep feature based rice leaf disease identification using support vector machine

(2020) Prabira Kumar Sethy et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

RiceTalk: Rice Blast Detection Using Internet of Things and Artificial Intelligence Technologies

(2019) Wen-Liang Chen et al.   IEEE Internet of Things Journal

Plants Disease Identification and Classification Through Leaf Images: A Survey

(2018) Sukhvir Kaur et al.   ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING

Deep Convolutional Neural Networks for Image Classification: A Comprehensive Review

(2017) Waseem Rawat et al.   NEURAL COMPUTATION

Identification of rice diseases using deep convolutional neural networks

(2017) Yang Lu et al.   NEUROCOMPUTING

A Robust Deep-Learning-Based Detector for Real-Time Tomato Plant Diseases and Pests Recognition

(2017) Alvaro Fuentes et al.   SENSORS

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

(2016) Jayme Garcia Arnal Barbedo   BIOSYSTEMS ENGINEERING

A random forest guided tour

(2016) Gérard Biau et al.   TEST

A random forest guided tour

(2016) Gérard Biau et al.   TEST

Enhancing Color Images of Extremely Low Light Scenes Based on RGB/NIR Images Acquisition With Different Exposure Times

(2015) Daisuke Sugimura et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Apple disease classification using color, texture and shape features from images

(2015) Shiv Ram Dubey et al.   Signal Image and Video Processing

Fast Local Laplacian Filters

(2014) Mathieu Aubry et al.   ACM TRANSACTIONS ON GRAPHICS

Use of leaf color images to identify nitrogen and potassium deficient tomatoes

(2011) Guili Xu et al.   PATTERN RECOGNITION LETTERS

The potential of automatic methods of classification to identify leaf diseases from multispectral images

(2011) Sabine D. Bauer et al.   PRECISION AGRICULTURE

An image-processing based algorithm to automatically identify plant disease visual symptoms

(2008) A. Camargo et al.   BIOSYSTEMS ENGINEERING

Early diagnostics of macronutrient deficiencies in three legume species by color image analysis

(2008) Marian Wiwart et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE