Detection and Recognition of Diseases from Paddy Plant Leaf Images
نویسندگان
چکیده
منابع مشابه
Detection of Paddy Leaf Diseases
India is an agricultural country. Farmer has wide range of diversity to select suitable crops. However, cultivation of these crops for optimum yield and quality produce is highly technical by using technical support. Detection of plant disease is an essential research topic. Studies show that relying on pure naked-eye observation of expert to detect such diseases can be prohibitively expensive,...
متن کاملDamaged Paddy Leaf Detection Using Image Processing
In an agriculture field paddy is one of the major staple foods in the Asian countries like China, India, Indonesia, and Bangladesh etc. But paddy disease likes a Blast; Bacterial Leaf Blight; Rice tungro etc. stops the growth of the paddy trees. If the diseases are not detected at an early possible stage then there is a decrease in the production of paddy. In this paper a noble methodology i.e....
متن کاملPlant Leaf Recognition
Research on automatic leaf classification has been active since 2000. Lots of hand-crafted features have been proposed, ranging from shape based, to statistical texture and margin related [2] [3] [1]. Also generic computer vision object recognition features, such SIFT[32] and HOG[33], are studied for this problem. Most of such manually engineered features achieve excellent accuracy on clean ima...
متن کاملDetection and Classification of Breast Cancer in Mammography Images Using Pattern Recognition Methods
Introduction: In this paper, a method is presented to classify the breast cancer masses according to new geometric features. Methods: After obtaining digital breast mammogram images from the digital database for screening mammography (DDSM), image preprocessing was performed. Then, by using image processing methods, an algorithm was developed for automatic extracting of masses from other norma...
متن کاملDetection and Classification of Breast Cancer in Mammography Images Using Pattern Recognition Methods
Introduction: In this paper, a method is presented to classify the breast cancer masses according to new geometric features. Methods: After obtaining digital breast mammogram images from the digital database for screening mammography (DDSM), image preprocessing was performed. Then, by using image processing methods, an algorithm was developed for automatic extracting of masses from other norma...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2016
ISSN: 0975-8887
DOI: 10.5120/ijca2016910505