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A survey on detection and classification of rice plant diseases

https://doi.org/10.1109/icctac.2016.7567333

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Rice diseases classification using feature selection and rule generation techniques

inferredcites →https://doi.org/10.1109/cise.2009.5363225openalex-snapshot

Extraction of the Rice Leaf Disease Image Based on BP Neural Network

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Image recognition of plant diseases based on backpropagation networks

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Identification of diseases in rice plant (oryza sativa) using back propagation Artificial Neural Network

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I-PEDIA: Mobile application for paddy disease identification using fuzzy entropy and probabilistic neural network

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Rice disease identification using pattern recognition techniques

inferredcites →https://doi.org/10.1109/iccubea.2015.153openalex-snapshot

Plant Disease Detection Using Image Processing

inferredcites →https://doi.org/10.1109/icec.2009.73openalex-snapshot

Application of Support Vector Machine for Detecting Rice Diseases Using Shape and Color Texture Features

inferredcites →https://doi.org/10.1109/iceei.2009.5254824openalex-snapshot

Texture analysis for diagnosing paddy disease

inferredcites →https://doi.org/10.1109/iciinfs.2009.5429828openalex-snapshot

An image recognition system for crop disease identification of paddy fields in Sri Lanka

inferredcites →https://doi.org/10.1109/socpar.2009.62openalex-snapshot

Investigation on Image Processing Techniques for Diagnosing Paddy Diseases

inferredcites →https://doi.org/10.1186/2193-1801-2-660openalex-snapshot

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

inferredcites →https://doi.org/10.14569/ijacsa.2014.050724openalex-snapshot

Clustering of Image Data Using K-Means and Fuzzy K-Means

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Image Processing and Machine Learning for Automated Fruit Grading System: A Technical Review

inferredcites →https://doi.org/10.5120/2183-2754openalex-snapshot

Fast and Accurate Detection and Classification of Plant Diseases

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Applications of Image Processing in Agriculture: A Survey

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Data mining: concepts and techniques

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Classification of Rice Leaf Diseases Based onMorphological Changes

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Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Review and Further Prospects of Plant Disease Detection Using Machine Learning

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An Overview of Machine Learning Methods for the Detection of Diseases in Rice Plants in Agricultural Research

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Role of Internet of Things and Deep Learning Techniques in Plant Disease Detection and Classification: A Focused Review

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Algoritmos para agricultura de precisión utilizando computación de alto rendimiento

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Decision Tree-based Machine Learning Algorithms to Classify Rice Plant Diseases

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A Transfer Learning Approach for Detecting Plant Leaf Diseases With Convolutional Neural Networks

inferred← citeshttps://doi.org/10.4018/979-8-3693-3583-3.ch002openalex-snapshot

A Smart Agronomy

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Precision Farming With Automated Weed Detection Using Machine Learning

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A Formal Model for Managing Multiple Observation Data in Agriculture

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Deep Learning in Plant Diseases Detection for Agricultural Crops

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An Inclusive Concurrent Approach To Diagnosing Oryza Sativa Leaf Disease Using Machine Learning Techniques

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Image-Based Deep Learning Method for Detecting Diseases in Rice Plants

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Identification of Leaf Disease Using Image Processing Technique

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Fruit Disease Detection using Image Processing

inferred← citeshttps://doi.org/10.48175/ijarsct-3617openalex-snapshot

Potato Plant Disease Detection using Deep Learning

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A Survey on Diseases Detection and Classification of Agriculture Products using Image Processing and Machine Learning

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Maize Lethal Necrosis Disease Detection for Maize Crop Real-Time Prediction Yield Modeling through Colour Pixel Feature

inferred← citeshttps://doi.org/10.5120/ijca2021921784openalex-snapshot

A Survey on Detecting Plant Diseases Detection and Proposal of a Solution using Recommendation System

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RICE PLANT DISEASE CLASSIFICATION USING TRANSFER LEARNING OF DEEP CONVOLUTION NEURAL NETWORK

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Fruit Disease Detection Using Convolution Neural Network Approach

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Deep Learning for Plant Disease Detection and Classification: A Systematic Analysis and Review

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inferred← citeshttps://doi.org/10.56726/irjmets41219openalex-snapshot

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WeChat mini program for wheat diseases recognition based on VGG-16 convolutional neural network

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