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The most important factor in reduction of quality and quantity of crop is due to plant disease. Identifying plant disease is a key to prevent agricultural losses. The aim of this paper is to develop a software solution which automatically detect and classify plant disease. It includes four steps, first step image acquisition, second step is image preprocessing, third step is image segmentation and...
Although professional agriculture engineers are responsible for the recognition of plant diseases, intelligent systems can be used for their diagnosis in early stages. The expert systems that have been proposed in the literature for this purpose, are often based on facts described by the user or image processing of plant photos in visible, infrared, light etc. The recognition of a disease can often...
Anthracnose and leaf spot (red rust) are the common diseases affecting the mango plant. Mango being economically important, the detection of these diseases is critical for avoiding epidemics and loss of yield. A machine vision approach has been proposed for plant disease identification using colour images of mango leaves. This approach included using YCbCr converted image and creating a feature vector...
Accurate plant diagnosis requires experts' knowledge but is usually expensive and time consuming. Therefore, it has become necessary to design an accurate, easy, and low-cost automated diagnostic system for plant diseases. In this paper, we propose a new practical plant-disease detection system. We use 7,520 cucumber leaf images comprising images of healthy leaves and those infected by almost all...
Intelligent systems can assist the diagnosis of a plant disease in early stages, allowing continuous plant monitoring. The most important symptoms of a disease include lesions, overdevelopment or underdevelopment of various parts of a plant, necrosis and deteriorated appearance. The color, area and the number of the lesions can often be used to determine the disease that has mortified a plant. A Windows...
The complex impacts of disease stages and disease symptoms on spectral characteristics of the plants lead to limitation in disease severity detection using the spectral vegetation indices (SVIs). Although machine learning techniques have been utilized for vegetation parameters estimation and disease detection, the effects of disease symptoms on their performances have been less considered. Hence,...
Plant diseases cause major economic and production losses as well as curtailment in both quantity and quality of agricultural production. Now a day's, for supervising large field of crops there is been increased demand for plant leaf disease detection system. The critical issue here is to monitor the health of the plants and detection of the respective diseases. Studies show that most of the plant...
The major cause for decrease in the quality and amount of agricultural productivity is plant diseases. Farmers encounter great difficulties in detecting and controlling plant diseases. Thus, it is of great importance to diagnose the plant diseases at early stages so that appropriate and timely action can be taken by the farmers to avoid further losses. The project focuses on the approach based on...
Agriculture is one of the main sources that contribute to the economic development in the country. However, diseases that attack the crops have given a little impact to the agricultural production. Generally, plant pathologist has the difficulties to detect the symptoms that relate to the plant disease. The plant usually gets infected that are caused by different plant pathogens such as bacteria,...
Jeevatu is the mixed culture of beneficial microbes, found in natural conditions in Nepal, which is developed by the Nepalese Farming Institute (NFI), an NGO working in Kathmandu, Nepal. Worldwide, several works have been done to control plant diseases, especially nematodes of tomatoes and rhizome rot of ginger effectively, however; no single chemical and practice was found effective to control them...
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 of wheat diseases (wheat stripe rust and wheat leaf rust) were selected as research objects, and the image recognition of the diseases was conducted based on image processing and pattern recognition. After...
In this paper we describe our experiences in applying the concept of participatory sensing to environmental monitoring. We have run pilot trials for air quality, water quality and plant disease monitoring. In these pilots, users have reported their personal observations or measurements of various environmental phenomena, using special location-based applications in their mobile phones. We found a...
Image segmentation is critical to image processing and pattern recognition. Basically, color image segmentation techniques are based on monochrome ones operating in different color spaces. A color image segmentation method in the RGB color space is reported in the paper, the image segmentation is used in the image about the disease spot and the normal spot of cucumber in the greenhouse, we determine...
To monitor plant disease which caused by spores, it is needed to obtain the spores image exterior outline characteristic, prepares for spores type analysis and automatic counting. This paper uses computer assistance digital image processing, realized image pretreatment, determined the threshold value reasonably, and transformed the gray image to binary image. Images was captured by CCD and input into...
Since current grading of plant diseases is mainly based on eyeballing, a new method is developed based on computer image processing. All influencing factors existed in the process of image segmentation was analyzed and leaf region was segmented by using Otsu method. In the HSI color system, H component was chosen to segment disease spot to reduce the disturbance of illumination changes and the vein...
Considering the produce and management system, ontology knowledge retrieval and SMS short message were applied to the expert consultation equipment of greenhouse, in order to increase the crop production, lesson the influence of the plant diseases and insect pests. The flaw of traditional retrieval method was conquered, such as the knowledge comprehension capability. Thus, the precision and the recall...
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