Herbsnap: Plant identification and biodiversity preservation (Record no. 25787)

000 -LEADER
fixed length control field 02737nam a2200265Ia 4500
001 - CONTROL NUMBER
control field 90305
003 - CONTROL NUMBER IDENTIFIER
control field ft7824
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20251010074218.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 240524n 000 0 eng d
040 ## - CATALOGING SOURCE
Description conventions rda
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title engtag
050 ## - LIBRARY OF CONGRESS CALL NUMBER
Classification number T58.6 P34 2023
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number .
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Pagaling, Jealmari Angel R.; Quero, Jean Ingrid N.; Torres, John Paul D.
245 #0 - TITLE STATEMENT
Title Herbsnap: Plant identification and biodiversity preservation
264 ## - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Manila:
Name of producer, publisher, distributor, manufacturer PLM,
Date of production, publication, distribution, manufacture, or copyright notice 2024
300 ## - PHYSICAL DESCRIPTION
Extent x, 173 pp.
336 ## - CONTENT TYPE
Content type code text
Content type term text
Source text
337 ## - MEDIA TYPE
Media type code unmediated
Media type term unmediated
Source unmediated
338 ## - CARRIER TYPE
Carrier type code volume
Carrier type term volume
Source volume
505 ## - FORMATTED CONTENTS NOTE
Formatted contents note ABSTRACT: The Philippines, known for its rich biodiversity and diverse ecosystems, is home to a wealth of medicinal plants that have long aided indigenous people and traditional healers. However, in recent years, increased urbanisation and modernization have resulted in a loss of awareness and appreciation for these medicinal jewels, jeoparding their health advantages. To prevent this trend and promote long-term use of therapeutic herbs, an intelligent system is developed that uses Convolutional Neural Networks (CNNs) and machine learning algorithms to accurately identify plants. The thesis project introduces a mobile application that serves as a tool for the preservation and promotion of medicinal plant knowledge. The application, which uses powerful plant picture identification driven by CNN, allows users such as bontanists, herbal practioners, researchers, and enthusiasts to accurately identify medicinal plants. This not only makes it easier to identify medicinal plants, but it also helps to contribute in the preservation of traditional medicinal practices. One of the key features of the application is the incorporation of a collaborative platform called “feed”. This feature allows users to upload images of plants for verification by experts or fellow enthusiasts. With this, application creates a dynamic community driven environment that enriches the database with diverse plant images and information. Beyond plant identification, the chatbot serves as a platform serves as a platform for users to learn about the historical uses, preparation methods, and cultural significance of medicinal plants, fostering an intergenerational knowledge. The goal is to merge technology with community participation, reigniting interest in mdecinal plants and promoting their responsible use. The application not only empowers users to identify plants but also plays a crucial role in preserving cultural practices, contributing to the sustnaible conservation of medicinal plant wisdom in the Philippines.
526 ## - STUDY PROGRAM INFORMATION NOTE
Classification Filipiniana
655 ## - INDEX TERM--GENRE/FORM
Genre/form data or focus term academic writing
942 ## - ADDED ENTRY ELEMENTS
Institution code [OBSOLETE] lcc
Item type Thesis/Dissertation
Source of classification or shelving scheme
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Permanent Location Current Location Shelving location Date acquired Fund Source Total Checkouts Full call number Barcode Date last seen Date last checked out Item type
          Filipiniana-Thesis PLM PLM Filipiniana Section 2024-06-06 Donation 1 T58.6 P34 2023 FT7824 2025-10-10 2025-10-09 Thesis/Dissertation

© Copyright 2024 Phoenix Library Management System - Pinnacle Technologies, Inc. All Rights Reserved.