دورية أكاديمية

Symptom-Based Identification of G-4 Chili Leaf Diseases Based on Rotation Invariant

التفاصيل البيبلوغرافية
العنوان: Symptom-Based Identification of G-4 Chili Leaf Diseases Based on Rotation Invariant
المؤلفون: Sufola Das Chagas Silva Araujo, V. S. Malemath, K. Meenakshi Sundaram
المصدر: Frontiers in Robotics and AI, Vol 8 (2021)
بيانات النشر: Frontiers Media S.A., 2021.
سنة النشر: 2021
المجموعة: LCC:Mechanical engineering and machinery
LCC:Electronic computers. Computer science
مصطلحات موضوعية: Guntur-4, infection, leaf, symtoms, moments, corelation, Mechanical engineering and machinery, TJ1-1570, Electronic computers. Computer science, QA75.5-76.95
الوصف: Instinctive detection of infections by carefully inspecting the signs on the plant leaves is an easier and economic way to diagnose different plant leaf diseases. This defines a way in which symptoms of diseased plants are detected utilizing the concept of feature learning (Sulistyo et al., 2020). The physical method of detecting and analyzing diseases takes a lot of time and has chances of making many errors (Sulistyo et al., 2020). So a method has been developed to identify the symptoms by just acquiring the chili plant leaf image. The methodology used involves image database, extracting the region of interest, training and testing images, symptoms/features extraction of the plant image using moments, building of the symptom vector feature dataset, and finding the correlation and similarity between different symptoms of the plant (Sulistyo et al., 2020). This will detect different diseases of the plant.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2296-9144
Relation: https://www.frontiersin.org/articles/10.3389/frobt.2021.650134/full; https://doaj.org/toc/2296-9144
DOI: 10.3389/frobt.2021.650134
URL الوصول: https://doaj.org/article/96cc8f180383472689167639d6a64dcd
رقم الأكسشن: edsdoj.96cc8f180383472689167639d6a64dcd
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:22969144
DOI:10.3389/frobt.2021.650134