An Overview of the Research on Plant Leaves Disease detection using Image Processing Techniques
@article{Gavhale2014AnOO, title={An Overview of the Research on Plant Leaves Disease detection using Image Processing Techniques}, author={Kiran R. Gavhale and Ujwalla Gawande}, journal={IOSR Journal of Computer Engineering}, year={2014}, volume={16}, pages={10-16} }
Diseases in plants cause major production and economic losses as well as reduction in both quality and quantity of agricultural products. [] Key Method This technique will improves productivity of crops. This paper also compares the benefits and limitations of these potential methods. It includes several steps viz. image acquisition, image pre-processing, features extraction and neural network based classification.
128 Citations
Review and Further Prospects of Plant Disease Detection Using Machine Learning
- Computer Science
- 2021
This paper describes the methods for the detection of plant diseases on the basis of their leaf images by the image processing and machine learning and shows how the different leaf images of plant disease are collected and feature extracted of the various machine learning methods.
Plant Disease Detection Techniques: A Review
- Computer Science2019 International Conference on Automation, Computational and Technology Management (ICACTM)
- 2019
The potential of the methods of plant leaves disease detection system that facilitates the advancement in agriculture is reviewed, which includes various phases such as the image acquisition, image segmentation, feature extraction and classification.
Plant Disease Detection Using Machine Learning Approaches
- Computer ScienceAdvances in Medical Technologies and Clinical Practice
- 2021
The authors discuss the potential of methods for detecting plant leaf diseases, which includes various steps such as image acquisition, image segmentation, feature extraction, and classification.
A Review on Plant Leaf Diseases Detection and Classification Based on Machine Learning Models
- 2020
For farmers, India is very famous in agriculture. The economic growths for all nations are dependent on agricultural products. Due to plant diseases, the quantity and quality of agriculture yield are…
Detection of Disease in Plant Leaf using Image Segmentation
- Computer ScienceInternational Journal of Computer Applications
- 2019
The types of disease with their symptoms and how the image segmentation technique is used in detection of leaf disease are defined.
DETECTION OF LEAF DISEASES USING IMAGE SEGMENTATION
- 2020
Abstract: Diseases in plants cause decrease in both quality and quantity of agricultural products. The main problem of farmers is the detection of leaf diseases. The leaf disease detection has very…
Tomato Leaf Disease Detection using Back Propagation Neural Network
- 2020
Most of the Indian economy rely on agriculture, so identifying any diseases crop in early stages is very crucial as these diseases in plants causes a large drop in the production and economy of the…
Recent technologies of leaf disease detection using image processing approach — A review
- Computer Science2017 International Conference on Innovations in Information, Embedded and Communication Systems (ICIIECS)
- 2017
A survey on different technologies of leaf disease detection using image processing approach and classified them based on the type of analysis tool and applications is presented.
Deep Learning Approach for the Detection of Plant Diseases
- Computer Science
- 2021
This work makes use of image processing technique for the detection of disease and the use of Support Vector Machine for the classification of plant leaf disease.
TECHNOLOGY EXTRACTION OF RICE DISEASE USING IMAGE PROCESSING
- Engineering
- 2015
Crop diseases cause significant damage and economic losses in crops worldwide. It is difficult for farmers as well as experts/doctors to identify the symptoms of diseases correctly and to specify…
References
SHOWING 1-10 OF 18 REFERENCES
Applying image processing technique to detect plant diseases
- 2012
A methodology for detecting plant diseases early and accurately, using diverse image processing techniques and artificial neural network (ANN) is proposed.
Detection of unhealthy region of plant leaves and classification of plant leaf diseases using texture features
- Computer Science
- 2013
The proposed algorithm’s efficiency can successfully detect and classify the examined diseases with an accuracy of 94%.
Grape leaf disease detection from color imagery using hybrid intelligent system
- Computer Science2008 5th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology
- 2008
This work presents automatic plant disease diagnosis using multiple artificial intelligent techniques and shows desirable results which can be further developed for any agricultural product analysis/inspection system.
Image recognition of plant diseases based on backpropagation networks
- Mathematics2012 5th International Congress on Image and Signal Processing
- 2012
To achieve automatic diagnosis of plant diseases and improve the image recognition accuracy of plant diseases, two kinds of grape diseases (grape downy mildew and grape powdery mildew) and two kinds…
Agricultural plant Leaf Disease DetectionUsing Image Processing
- Biology
- 2013
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.
Image recognition of plant diseases based on principal component analysis and neural networks
- Computer Science2012 8th International Conference on Natural Computation
- 2012
The results showed that neural networks could be used for image recognition of these diseases based on reducing dimensions using PCA and acceptable fitting accuracies and prediction accuracies could be obtained.
A Research of Maize Disease Image Recognition of Corn Based on BP Networks
- Computer Science2011 Third International Conference on Measuring Technology and Mechatronics Automation
- 2011
The experimental results show that the algorithm can effectively identify the disease image, the accuracy was as high as 98% or more, and the study provided the theoretical basis to cognition of maize leaf disease.
Fast and Accurate Detection and Classification of Plant Diseases
- Computer Science
- 2011
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].
An Empirical Investigation of Olive Leave Spot Disease Using Auto-Cropping Segmentation and Fuzzy C-Means Classification
- Geography
- 2013
The objective of this research was to investigate an image analysis and classification techniques for detection and severity rating of olive leaf spot disease. Samples of olive leaves were collected…
Features selection of cotton disease leaves image based on fuzzy feature selection techniques
- Computer Science2007 International Conference on Wavelet Analysis and Pattern Recognition
- 2007
The results show that the effectiveness of features selected by the FC and FS method is much better than that selected by human randomly or other methods.