منابع مشابه
Image processing Based Detection and classification of leaf disease on fruits crops
An automatic leaf disease detection is the very important research topic in agriculture field as it may prove benefits in monitoring and controlling large fields of crops, and thus automatically detect diseases as soon as they appear on plant leaves. For excellent use of pesticide and to minimize the economical loss, the identification of disease severity is main factor. The disease is usually ...
متن کاملClassification of Leaf Disease from Image Processing Technique
Received Jan 1, 2018 Revised Mar 15, 2018 Accepted Mar 29, 2018 Disease in palm oil sector is one of the major concerns because it affects the production and economy losses to Malaysia. Diseases appear as spots on the leaf and if not treated on time, cause the growth of the palm oil tree. This work presents the use of digital image processing technique for classification oil palm leaf disease s...
متن کاملRice Classification and Quality Detection Based on Sparse Coding Technique
Classification of various rice types and determination of its quality is a major issue in the scientific and commercial fields associated with modern agriculture. In recent years, various image processing techniques are used to identify different types of agricultural products. There are also various color and texture-based features in order to achieve the desired results in this area. In this ...
متن کاملPlant Disease Detection Using Leaf Pattern: A Review
In this review paper we discuss the various methodologies for plant disease detection. Studies show that relying on pure naked-eye observation of experts to detect and classify diseases can be time consuming and expensive, especially in rural areas and developing countries. So we present fast, automatic, cheap and accurate image processing based solution. Solution is composed of four main phase...
متن کاملAn Image Processing and Neural Network Based Approach for Detection and Classification of Plant Leaf Diseases
In the present paper we propose and evaluate a framework for detection and classification of plant leaf/stem diseases using image processing and neural network technique. The images of plant leaves affected by four types of diseases namely early blight, late blight, powdery-mildew and septoria has been considered for study and evaluation of feasibility of the proposed method. The color transfor...
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ژورنال
عنوان ژورنال: International Journal of Innovative Research in Science, Engineering and Technology
سال: 2015
ISSN: 2347-6710,2319-8753
DOI: 10.15680/ijirset.2015.0411024