Plant Assistant Application

Mat Yusoff, Siti Nursaadah and Ong, Chin Wei and Tick Yen, Terence Mah and Hoe, Kang Sun (2023) Plant Assistant Application. Malaysia Journal of Invention and Innovation, 2 (5): 3. pp. 16-24. ISSN 2976-2170

Official URL: https://journal.academicapress.org/aps/index.php/m...

Identification Number (DOI): 10.64382/mjii.v2i5.49

Abstract

The Plant Assistant Application is a comprehensive gardening application developed to cater to the needs of inexperienced plant enthusiasts. With limited knowledge and guidance available, newcomers often struggle to provide proper care for their plants, resulting in wasted time and effort. Existing plant-based applications lack comprehensive information and detailed care guides, while physical guidebooks are expensive and hard to come by. This project aims to address these issues by creating a user-friendly application that grants easy access to plant care information, delivers guidance on optimal plant care practices, and incorporates an innovative snap feature for plant identification. The Waterfall methodology was employed throughout the project, involving phases such as requirement gathering, design, implementation, testing, and maintenance. The findings indicate that the snap feature successfully identifies plants using TensorFlow and SerpApi, providing accurate scientific names and comprehensive search results. The application boasts a minimalist and intuitive user interface, consolidating all essential plant care information in a single location. Moreover, a beginner-level guide on gardening fundamentals is included to support novices in their endeavors. The Plant Assistant Application is freely available for download on the Google Play Store. By catering to the needs of new gardeners, this application aims to cultivate a passion for gardening while offering valuable assistance in plant care, ensuring a seamless and gratifying gardening experience.

Metadata

Item Type: Article
Creators:
Creators
Email / ID Num.
Mat Yusoff, Siti Nursaadah
sitinursaadahmatyusoff@gmail.com
Ong, Chin Wei
lmao61933@gmail.com
Tick Yen, Terence Mah
terence1373@gmail.com
Hoe, Kang Sun
sunkhoesc@gmail.com
Subjects: Q Science > QA Mathematics > Mathematical statistics. Probabilities > Data processing
S Agriculture > SB Plant culture > Gardens and gardening
Divisions: Universiti Teknologi MARA, Kelantan > Machang Campus > Faculty of Information Management
Journal or Publication Title: Malaysia Journal of Invention and Innovation
ISSN: 2976-2170
Volume: 2
Number: 5
Page Range: pp. 16-24
Related URLs:
Keywords: Computer programs, Gardening, Garden plants
Date: 5 September 2023
URI: https://ir.uitm.edu.my/id/eprint/127967
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