TY  - MANSCPT
AU  - Acol, Lurisa A., Reeves, Jeremay D., Salgado, Steven Johnson R.
AU  - Maribel T.Bravo
TI  - Android Application For Recognition Of Aglaonema Plants
PY  - 2023///
CY  - Magalang, Pampanga
PB  - Pampanga State Agricultural University
N1  - ABSTRACT  Acol, Lurisa A., Reeves, Jeremay D., Salgado, Steven Johnson R.  Department of Computer Studies and Automation - College of Engineering and  Computer Studies, Pampanga State Agricultural University, Magalang,  Pampanga, July 2023. "ANDROID APPLICATION FOR RECOGNITION OF  AGLAONEMA PLANTS".  Adviser: Engr. Maribel T. Bravo  The study entitled "Android Application for Recognition of Aglaonema  Plants" aimed to develop an application that is easy to use and simple to  understand. However, many plant parents lack the expertise to accurately identify  plants and provide proper care. This study aims to develop a plant recognition app  using image processing techniques, filling the gap by offering comprehensive plant  care information. By providing accurate plant identification and insights into proper  care, the application aims to assist novice gardeners and promote healthy plant  growth. The objective of this study is to create an application that can display  different information about the plants such as: to display its scientific name; to  display its proper plant care such as proper sunlight exposure, soil requirements,  and water need; and, to display different information on how to properly propagate  the plants.  The researchers employed various techniques including observation,  information retrieval through journal, sites, interviews, and surveys to gather the  necessary data. Statistical treatment, specifically the sample mean, was used to  interpret the primary data obtained from the questionnaires. The study employed  an agile research methodology, selected for its suitability in meeting the project's  current research requirements and facilitating structured development stages. The  researchers employed software tools like Android Studio, JAVA, TensorFlow Lite,  XML, and Teachable Machine for design and development. Canva was used to  create the system's logo. Structured tools such as use case diagrams, block  diagrams, data flow diagrams, and system flowcharts were utilized to analyze and  comprehend the system's flow.  The researchers successfully achieved the objective of providing easy and  specific access to information about Aglaonema plant varieties such as Pink Moon,  Chinese Evergreen, and Red Siam Aglaonema. Based on interviews, functionality  evaluation, and survey results, the study received a high rating with a grand mean  of 3.52, indicating strong agreement among respondents that the system  effectively met its objectives
ER  -