• Corpus ID: 215821118

A Review: Rose Plant Disease Detection Using Image Processing

  title={A Review: Rose Plant Disease Detection Using Image Processing},
  author={Varsha Sawarkar and Seema S. Kawathekar},
In this paper the identification of the rose plant diseases is the key for preventing the losses in the yield and quantity of the agricultural product. Diseases decrease the productivity of plant and it also restricts the growth of plant, and both quality and quantity of plant gets reduced. Disease detection on plant is very critical for sustainable agriculture.It is very hard to monitor the plant diseases done with the hands. It has need of very great amount of work, expertknowledge in the… 
4 Citations

Nature Inspired Algorithms as a Tool for Diseased Millets Leaf Segmentation

  • 2020
Agriculture is the main occupation undertaken by majority of population in India. The Indian farmers produce food grains for entire population. Growing population needs constant increase in quantity

Comparison of Plant Leaf Classification Using Modified AlexNet and Support Vector Machine

The convolutional neural network is used to detect the plant leaf and identify the healthy and diseased plant through this network and results are validated with a support vector machine and deep learning classifier.

Segmentação Automática de Doenças em Imagens de Plantas através de Algoritmos Evolucionários

In this work, image segmentation approaches to deal with leaf disease detection problem are presented, as part of an automatic plant disease classification system. Evolutionary Algorithms (EAs),

A Review on Leaf Disease Detection using Feature Extraction

1,2Dept. of Electronics and Communication, GD Rungta College of Engineering and Technology, Durg, C.G., India



Plant Disease Detection Using Image Processing

  • Sachin D. KhiradeA. Patil
  • Computer Science
    2015 International Conference on Computing Communication Control and Automation
  • 2015
The methods used for the detection of plant diseases using their leaves images are discussed and some segmentation and feature extraction algorithm used in the plant disease detection are discussed.

Plant Leaf Disease Detection and Classification Using Image Processing Techniques

This paper is providing software solution to automatically detect and classify plant leaf diseases, using image processing techniques to classify diseases & quickly diagnosis can be carried out as per disease.

Leaf Disease Detection and Prevention Using Image Processing using Matlab

Nowadays many of the farmers and agro help center use the different new technology to enhance the agriculture production. Plants have become important source of energy. There are several diseases

Detection of unhealthy region of plant leaves and classification of plant leaf diseases using texture features

The proposed algorithm’s efficiency can successfully detect and classify the examined diseases with an accuracy of 94%.

Applying image processing technique to detect plant diseases

A methodology for detecting plant diseases early and accurately, using diverse image processing techniques and artificial neural network (ANN) is proposed.

Agricultural plant Leaf Disease DetectionUsing Image Processing

The developed processing scheme consists of four main steps, a color transformation structure for the input RGB image is created, this RGB is converted to HSI because RGB is for color generation and his for color descriptor, then green pixels are masked and removed using specific threshold value, then the image is segmented and the useful segments are extracted, finally the texture statistics is computed.

Rice disease identification using pattern recognition techniques

  • S. PhadikarJ. Sil
  • Computer Science
    2008 11th International Conference on Computer and Information Technology
  • 2008
A software prototype system for rice disease detection based on the infected images of various rice plants is described, which is both image processing and soft computing technique applied on number of diseased rice plants.

An enhancement in classifier support vector machine to improve plant disease detection

  • Rajleen KaurS. Kang
  • Computer Science
    2015 IEEE 3rd International Conference on MOOCs, Innovation and Technology in Education (MITE)
  • 2015
SVM is implemented which contains two datasets; one is training dataset and train dataset, which provides accuracy which is better as in proposed algorithm results.

Fast and Accurate Detection and Classification of Plant Diseases

The experimental results demonstrate that the proposed technique is a robust technique for the detection of plant leaves diseases and can achieve 20% speedup over the approach proposed in [1].

Detection and Classification of Plant Leaf Diseases Using Image processing Techniques: A Review

An overview of different classification techniques used for plant leaf disease classification is provided, including k-Nearest Neighbor Classifier, Fuzzy logic, ANN, and more.