Topic Proposal: Development of AR-Based Mobile Application for Plant Care and Identification Using Image Recognition
Background of the study:
Plants play an important role in developing our living environment by improving the quality of air, adding decorative value, and providing peace and quiet for most people. There is growing interest in indoor and outdoor gardening. As more people engage in gardening, there is an increasing demand for tools and resources that facilitate effective plant care.
Gardeners can recognize different plants and take care of their plants with the help of instruments and technologies. Plant enthusiasts are now better equipped to maintain their gardens with more knowledge and confidence with the help of gardening apps, plant identification guides, and internet. The knowledge and assistance that these current solutions offer is quite helpful and has advanced significantly.
Augmented Reality (AR) is a groundbreaking technology that combines digital information with the real-world environment. This integration opens new doors in both daily life and professional applications by providing users with a richer understanding of their surroundings. AR technology allows virtual objects to be integrated into the real world, enabling users to interact with these objects. This interaction creates innovative usage scenarios across a wide range of fields, from education to healthcare, retail to industry. [1]
The integration of AR into plant care and identification will further enhance the gardening experience. An AR-based mobile application can offer real-time guidance that includes existing tools, providing users with immediate and personalized care instructions. This will enable users to identify plant species accurately and receive proper advice on watering, sunlight needs and other needs of plants.
Statement of the Problem:
Mobile apps such as LeafSnap, PictureThis, PlantNet, and PlantSnap have been developed to assist with plant identification, users encounter several challenges when utilizing these tools. Participants, including students, teachers, and plant enthusiasts, found these apps to be interesting, enjoyable, and useful for expanding their knowledge of plants and connecting with nature. However, they also experienced significant difficulties, such as slow Internet connections, inconsistencies in plant identification, and the requirement to purchase the apps after the trial period.[2] These challenges suggest that while the current plant identification apps are beneficial, there are notable limitations that hinder their effectiveness and accessibility, particularly in areas with limited Internet access which where several gardens are located.
This study seeks to address these issues by creating an offline and AR-based plant identification mobile application as tools for identifying available plant species within a certain location.
Objective:
To Develop an AR mobile application that will help users identify plants and provide real-time care instructions, including watering schedules, and sunlight needs.
Purpose of the Study:
Scope and Delimitation:
PH