scholarly journals Evaluation of image processing technique in identifying rice blast disease in field conditions based on KNN algorithm improvement by K‐means

2019 ◽  
Vol 7 (12) ◽  
pp. 3922-3930 ◽  
Author(s):  
Mohammad Reza Larijani ◽  
Ezzatollah Askari Asli‐Ardeh ◽  
Ehsan Kozegar ◽  
Reyhaneh Loni
Keyword(s):  
Image Processing ◽  
Rice Blast ◽  
Processing Technique ◽  
Rice Blast Disease ◽  
Field Conditions ◽  
Blast Disease ◽  
Image Processing Technique

scholarly journals Diagnosis of Rice Blast Disease in Different Environmental Conditions using Image Processing Technique

2020 ◽  
Vol 17 (100) ◽  
pp. 17-28
Author(s):  
Ezzatollah Askari Asli Ardeh ◽  
mohammad reza larijani ◽  
Reyhaneh Loni ◽  
◽  
◽  
...  
Keyword(s):  
Image Processing ◽  
Environmental Conditions ◽  
Rice Blast ◽  
Processing Technique ◽  
Rice Blast Disease ◽  
Blast Disease ◽  
Image Processing Technique

scholarly journals Monitoring and Controlling the Infected Cereal Crops Based on Image Processing with Proposed Architecture

2018 ◽  
Vol 7 (2.24) ◽  
pp. 188
Author(s):  
G Panneer Selvam ◽  
K Yamuna Rani
Keyword(s):  
Image Processing ◽  
Rice Blast ◽  
Rice Plant ◽  
Crop Production ◽  
Magnaporthe Grisea ◽  
Rice Blast Disease ◽  
Plant Diseases ◽  
Blast Disease ◽  
Image Processing Technique ◽  
Production Plant

Agriculture is the backbone of our country. Agriculture is the science of cultivating the soil, harvesting crops, and raising livestock which is considered as one of the economic activities in Asian countries.  In India, sector of agriculture is destroying now-a-days .The main goal of this project is to increase the productivity and profit. There are several automated systems available in literature, which are developed for irrigation control and environmental monitoring in the field. However, it is essential to monitor the plant growth stage by stage and take decisions accordingly. In addition to monitoring the environmental parameters such as pH, moisture content and temperature, it is inevitable to identify the onset of plant diseases too. To prevent the losses occur in agriculture production. Plant disease identification by continuous visual monitoring is very difficult task to farmers and at the same time, it is less accurate and can be done in limited areas. Hence, this project aims to develop an image processing algorithm to detect the diseases in the rice plant. Rice blast disease occurs in rice plant due to magnaporthe grisea and this disease also occurs in wheat, rye, barley, and millet. Due to rice blast disease, around 60 million people were affected in 85 countries worldwide. Image processing technique is adopted as it is more accurate. Early disease detection can increase the crop production by inducing proper pesticide usage. Hardware prototype of the proposed system will be developed using the Arduino Processor.  

scholarly journals The Development of Diseases Identification System in Paddy Plant Using Image Processing Technique

2019 ◽  
Vol 2 ◽  
pp. 231-236
Author(s):  
Alex Wenda ◽  
Nanda Putri Miefthawati ◽  
Mas’ud Zein
Keyword(s):  
Image Processing ◽  
Processing Technique ◽  
Blast Disease ◽  
Brown Spot ◽  
Image Processing Technique ◽  
Identification System ◽  
Spot Disease ◽  
Leaf Disease ◽  
Brown Spot Disease ◽  
Processing Techniques

There are three types of paddy leaf disease that have similar symptoms, making it difficult for farmers to identify them, namely Blast Disease, Brown-Spot Disease, and Narrow Brown-Spot Disease. This paper aims to develop an application to identify paddy leaf disease automatically. Several important aspects of the development of software engineering such as usability, interactivity, and simplicity have been considered. Image processing techniques, namely Blobs analysis and color segmentation are used to get the characteristics of diseased leaf; these characteristics are then used to identify the type of diseases using a rule-based expert system. The results obtained indicate that the developed system recognition capability is considered satisfactory with an accuracy of 94.7%.

A New Image Processing Technique for STEM

1974 ◽  
Vol 32 ◽  
pp. 432-433
Author(s):  
Yasushi Kokubo ◽  
Hirotami Koike ◽  
Teruo Someya
Keyword(s):  
Electron Microscopy ◽  
Image Processing ◽  
Scanning Electron Microscopy ◽  
Elastic Scattering ◽  
Field Emission ◽  
Processing Technique ◽  
Image Processing Technique ◽  
Energy Analyzer ◽  
Scanning Microscope ◽  
Scanning Electron

One of the advantages of scanning electron microscopy is the capability for processing the image contrast, i.e., the image processing technique. Crewe et al were the first to apply this technique to a field emission scanning microscope and show images of individual atoms. They obtained a contrast which depended exclusively on the atomic numbers of specimen elements (Zcontrast), by displaying the images treated with the intensity ratio of elastically scattered to inelastically scattered electrons. The elastic scattering electrons were extracted by a solid detector and inelastic scattering electrons by an energy analyzer. We noted, however, that there is a possibility of the same contrast being obtained only by using an annular-type solid detector consisting of multiple concentric detector elements.

A Comparative Study of Ant and Genetic Algorithms in Digital Mammography

2018 ◽  
pp. 194-200
Author(s):  
J. Magelin Mary ◽  
Chitra K. ◽  
Y. Arockia Suganthi
Keyword(s):  
Genetic Algorithm ◽  
Image Processing ◽  
Medical Image ◽  
Medical Image Processing ◽  
Processing Technique ◽  
Input Image ◽  
Image Processing Technique ◽  
Computational Time ◽  
Image Mining ◽  
The Individual

Image processing technique in general, involves the application of signal processing on the input image for isolating the individual color plane of an image. It plays an important role in the image analysis and computer version. This paper compares the efficiency of two approaches in the area of finding breast cancer in medical image processing. The fundamental target is to apply an image mining in the area of medical image handling utilizing grouping guideline created by genetic algorithm. The parameter using extracted border, the border pixels are considered as population strings to genetic algorithm and Ant Colony Optimization, to find out the optimum value from the border pixels. We likewise look at cost of ACO and GA also, endeavors to discover which one gives the better solution to identify an affected area in medical image based on computational time.

An Enhanced Technique for Classification of Fruits using Shape Color and Texture Features

2017 ◽  
Vol 7 (7) ◽  
pp. 408
Author(s):  
Yashpal Jitarwal ◽  
Tabrej Ahamad Khan ◽  
Pawan Mangal
Keyword(s):  
Image Processing ◽  
Texture Features ◽  
Automatic Classification ◽  
Processing Technique ◽  
Image Processing Technique ◽  
Advance Technique ◽  
Time Required ◽  
Fruit Sorting ◽  
Human Inspection

In earlier times fruits were sorted manually and it was very time consuming and laborious task. Human sorted the fruits of the basis of shape, size and color. Time taken by human to sort the fruits is very large therefore to reduce the time and to increase the accuracy, an automatic classification of fruits comes into existence.To improve this human inspection and reduce time required for fruit sorting an advance technique is developed that accepts information about fruits from their images, and is called as Image Processing Technique.

Diagnosis of the state of N in wheat via digital image processing technique

2012 ◽  
Vol 19 (5) ◽  
pp. 1168-1174
Author(s):  
Li-Zhou ZHANG ◽  
Xiao-Yu HOU ◽  
Yu-Ming ZHANG ◽  
Hong-Jun LI ◽  
Yi-Song CHENG ◽  
...  
Keyword(s):  
Image Processing ◽  
Digital Image Processing ◽  
Digital Image ◽  
Processing Technique ◽  
The State ◽  
Image Processing Technique ◽  
Digital Image Processing Technique

Diagnosis of N nutrient status of corn using digital image processing technique

2010 ◽  
Vol 18 (6) ◽  
pp. 1340-1344
Author(s):  
Li-Zhou ZHANG ◽  
Dian-Wu WANG ◽  
Yu-Ming ZHANG ◽  
Yi-Song CHENG ◽  
Hong-Jun LI ◽  
...  
Keyword(s):  
Image Processing ◽  
Digital Image Processing ◽  
Digital Image ◽  
Nutrient Status ◽  
Processing Technique ◽  
Image Processing Technique ◽  
Digital Image Processing Technique
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