مشخصات مقاله | |
ترجمه عنوان مقاله | یادگیری ماشین برای طبقه بندی و تشخیص بیماریهای برگی گیاه – یک بررسی |
عنوان انگلیسی مقاله | Machine Learning for Plant Leaf Disease Detection and Classification – A Review |
انتشار | مقاله سال ۲۰۱۹ |
تعداد صفحات مقاله انگلیسی | ۵ صفحه |
هزینه | دانلود مقاله انگلیسی رایگان میباشد. |
پایگاه داده | نشریه IEEE |
مقاله بیس | این مقاله بیس نمیباشد |
نوع مقاله | ISI |
فرمت مقاله انگلیسی | |
مدل مفهومی | ندارد |
پرسشنامه | ندارد |
متغیر | ندارد |
رفرنس | دارد |
رشته های مرتبط | کامپیوتر، کشاورزی |
گرایش های مرتبط | مهندسی الگوریتم ها و محاسبات، بیماری شناسی گیاهی، هوش مصنوعی، رایانش ابری |
نوع ارائه مقاله |
کنفرانس |
کنفرانس | کنفرانس بین المللی ارتباط و پردازش سیگنال – International Conference on Communication and Signal Processing |
دانشگاه | Department of Information Technology, St. Joseph’s College of Engineering, Chennai, Tamil Nadu, India |
کلمات کلیدی | شبکه عصبی مصنوعی، طبقه بندی، تشخیص بیماری، ماشین بردار پشتیبانی، یادگیری ماشین |
کلمات کلیدی انگلیسی | Artificial Neural Network، Classification، Disease Detection، Support Vector Machine، Machine Learning |
شناسه دیجیتال – doi |
https://doi.org/10.1109/ICCSP.2019.8698004 |
کد محصول | E13164 |
وضعیت ترجمه مقاله | ترجمه آماده این مقاله موجود نمیباشد. میتوانید از طریق دکمه پایین سفارش دهید. |
دانلود رایگان مقاله | دانلود رایگان مقاله انگلیسی |
سفارش ترجمه این مقاله | سفارش ترجمه این مقاله |
فهرست مطالب مقاله: |
Abstract
I- Introduction II- Classification of plant diseases III- Classification algorithms IV- Conclusion References |
بخشی از متن مقاله: |
Abstract Plants are considered to be important as they are the source of energy supply to mankind. Plant diseases can affect the leaf any time between sowing and harvesting which leads to huge loss on the production of crop and economical value of market. Therefore, leaf disease detection plays a vital role in agricultural field. However, it requires huge manpower, more processing time and extensive knowledge about plant diseases. Hence, machine learning is applied to detect diseases in plant leaves as it analyzes the data from different aspects, and classifies it into one of the predefined set of classes. The morphological features and properties like color, intensity and dimensions of the plant leaves are taken into consideration for classification. This paper presents an overview on various types of plant diseases and different classification techniques in machine learning that are used for identifying diseases in different plant leaves. INTRODUCTION INDIA is a fast developing country and agriculture is the back bone for the country’s development in its early stage. However, agricultural field faces lots of hurdles including huge loss in the crop production. Plant leaf diseases are one of the important reasons for the loss in the production and plant leaf disease identification is also very difficult in agriculture field. Naked eye method is a traditional method of identifying the diseases which involves huge man power, inaccurate, time consuming and not applicable for larger fields. In addition, it is very expensive as it requires continuous monitoring by the experts. Hence, machine learning; a reliable prediction methodology is used for detecting various diseases of plant leaves caused by fungus, bacteria and virus. However, disease prediction using classification algorithms appears to be a difficult task as the accuracy varies for different input data. In this paper, several research contributions related to various plant leaf diseases detection using different classification algorithms are reviewed and compared. |