A Brief Review on Plant Disease Detection Using Image Processing Techniques

2019 ◽  
Vol 7 (9) ◽  
pp. 112-114
Author(s):  
Jyoti . ◽  
Prince Kumar
Keyword(s):  
Image Processing ◽  
Plant Disease ◽  
Disease Detection ◽  
Image Processing Techniques ◽  
Processing Techniques

scholarly journals Plant Disease Detection using Image Processing Techniques

2020 ◽  
pp. 295-300
Author(s):  
Chinmayee Sawant ◽  
Mithila Shirgaonkar ◽  
Sakshi Khule ◽  
Prajakta Jadhav
Keyword(s):  
Image Processing ◽  
Plant Disease ◽  
Early Stage ◽  
Disease Detection ◽  
Image Processing Techniques ◽  
Affected Plant ◽  
Processing Techniques ◽  
Large Work ◽  
Respective Product ◽  
Automatic Technique

The Indian economy is highly dependent on Agriculture productivity. Having diseases in plants are natural, so disease detection in plant plays an important role in agriculture field. If proper care is not taken, then it causes very serious effects on plants, so that respective product quality and product quantity is affected. Plant disease detection using automatic technique is very useful because it reduces a large work of monitoring in big farms. At very early stage itself it detects the symptoms of diseases when they appear on plant leaves. This project focuses on an approach based on image processing techniques to detect the disease of plants.

Application of Image Processing in Fruit and Vegetable Analysis: A Review

2015 ◽  
Vol 24 (4) ◽  
pp. 405-424 ◽  
Author(s):  
Shiv Ram Dubey ◽  
Anand Singh Jalal
Keyword(s):  
Image Processing ◽  
Expert Knowledge ◽  
State Of The Art ◽  
Disease Classification ◽  
Disease Detection ◽  
Fruit And Vegetable ◽  
Image Processing Techniques ◽  
Agricultural Operations ◽  
Fruit Disease ◽  
Processing Techniques

AbstractImages are an important source of data and information in the agricultural sciences. The use of image-processing techniques has outstanding implications for the analysis of agricultural operations. Fruit and vegetable classification is one of the major applications that can be utilized in supermarkets to automatically detect the kinds of fruits or vegetables purchased by customers and to determine the appropriate price for the produce. Training on-site is the underlying prerequisite for this type of arrangement, which is generally caused by the users having little or no expert knowledge. We explored various methods used in addressing fruit and vegetable classification and in recognizing fruit disease problems. We surveyed image-processing approaches used for fruit disease detection, segmentation and classification. We also compared the performance of state-of-the-art methods under two scenarios, i.e., fruit and vegetable classification and fruit disease classification. The methods surveyed in this paper are able to distinguish among different kinds of fruits and their diseases that are very alike in color and texture.

scholarly journals Detection of Cotton Leaf Disease Using Image Processing Techniques

2021 ◽  
Vol 2062 (1) ◽  
pp. 012009
Author(s):  
Sushreeta Tripathy
Keyword(s):  
Image Processing ◽  
Plant Disease ◽  
Region Of Interest ◽  
Texture Features ◽  
Disease Diagnosis ◽  
Cotton Leaf ◽  
Diagnosis System ◽  
Image Processing Techniques ◽  
Plant Disease Diagnosis ◽  
Processing Techniques

Abstract In the area of research, diagnosis of disease symptoms in the plants duly applying image processing methods is a matter of big concern. The need of the hour is to prepare an efficient plant disease diagnosis system that can help the farmers in their cultivation and farming. This work is an attempt to prepare a framework of plant disease diagnosis system by using the cotton plant leaves. The digital pictures of cotton leaves are obtained to undergo a set of image processing techniques. Thresholding based segmentation techniques are used to remove the region of interest (ROI) i.e., infected part from the enhanced images. Consequently, diseases are detected from the region of interest by using an accurate set of visual texture features. At last treatment actions are taken to supervise the diseases found in the plants. This work will help the farmer’s society to take effective measures to protect their crops from diseases.

Plants Disease Detection using Image Processing Techniques

2021 ◽  
Vol 69 (7) ◽  
pp. 19-23
Author(s):  
Suresh M B ◽  
Poorvika N ◽  
Sri Priya K ◽  
Varsha S ◽  
Sushma P Nagesh
Keyword(s):  
Image Processing ◽  
Disease Detection ◽  
Image Processing Techniques ◽  
Processing Techniques

scholarly journals Image Processing Techniques for Diagnosing Rice Plant Disease: A Survey

2020 ◽  
Vol 167 ◽  
pp. 516-530 ◽  
Author(s):  
Prabira Kumar Sethy ◽  
Nalini Kanta Barpanda ◽  
Amiya Kumar Rath ◽  
Santi Kumari Behera
Keyword(s):  
Image Processing ◽  
Rice Plant ◽  
Plant Disease ◽  
Image Processing Techniques ◽  
Processing Techniques
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