AN INTELLIGENT AR-BASED INDOOR PLANT SPECIFICATION APP

Global environmental climate changes create catastrophic effects on planet earth. These natural disasters especially air pollution affected all areas of life. An increase in diseases, damaged crops, trees & harsh weather, etc. are the major effects associated with air pollution. Many developing

Project Title

AN INTELLIGENT AR-BASED INDOOR PLANT SPECIFICATION APP

Project Area of Specialization

Artificial Intelligence

Project Summary

Global environmental climate changes create catastrophic effects on planet earth. These natural disasters especially air pollution affected all areas of life. An increase in diseases, damaged crops, trees & harsh weather, etc. are the major effects associated with air pollution. Many developing countries especially Pakistan focuses on ways to control such global problems. To overcome, such issues proper planning and decision-making are required at Gov. and individual levels. Currently, many statistical and mathematical models are implemented by experts to measure the effects of such changes. These models are very complex and time-consuming. Moreover, these models are not facilitating end-users by providing any valuable information about their contribution to such issues. In literature, numerous researches and software solutions have been available which provide plants disease and identification techniques but these are limited in their comparison details with respect to plants growth and air pollution solution.  To overcome the above-mentioned gaps, a client/server-based AR mobile application will be proposed.  The basic goal of the application is to facilitate the end-users by providing indoor plants' growth level specification details and also help them to compare other plants with respect to air pollution impact. The proposed idea is decomposed into three modules (i.e. AR mobile application, image management, and plant knowledge management).  For the successful implementation of the proposed solution, various tools (Python, PHP, Android Studio, My SQL), techniques (DL, plant growth Scale), and technologies (Smart Phones, and AR) will be used. This project will not only help the users but also facilitate the government bodies in their air pollution domestic level projects. In the end, the datasets and the techniques proposed by the system will be used for further research.

Project Objectives

The objectives of the proposed project are:

• A literature review has been done in this project which helps to identify the suitable tools, techniques, and methodologies essential for the project.
• Image Management will be developed to capture, classify (i.e. Healthy, unhealthy), and recognize the plants by their growth level using deep learning (DL) and AI-based techniques.
• The plant knowledge management module will provide a comprehensive knowledge of study plants. It extracts information from various online repositories (e.g. Pakistan Research Repository (PRR)). This module captures information and integrates it in an appropriate manner so that comparison and further actions will be made successfully. 
• An AR Mobile Application will be developed to compare different species of plants with regard to air purification details, sunlight, watering consumption, viability, health condition, soiling, and fertilizer requirements.  
• More than 1000 data sets will be taken through drone 70% will be used for training and the remaining 30% will be used for testing.
• The effectiveness of the final experimental results will be tested and verified by the AR-based mobile application connected with the cloud database.

Project Implementation Method

In this project, an efficient and easy-to-use AR-based intelligent plant specification System will be proposed. The system is decomposed into three basic modules (i.e. AR mobile application, image management, and plant knowledge management). Logically the whole concept is executed in two iterations. In the first iteration, pre-modeling has been done by using the deep learning and plant growth scale techniques (i.e. Mask RCNN, Zadoks, etc.). Each plant specification will be managed and maintained in the plant knowledge repository. In the second iteration, the AR mobile application will be developed for end-users. Users will extract plants image through this application from their mobile phones. The pre-modeled information facilitates this application for the proper identification and categorization of plants. It will also provide help in different plant specification-based comparisons. An AI-based customized algorithm will be used to sort plant knowledge information. The plant's comparison information will later display on the user's screen in the AR view where he/she can view different species of plants with regard to various factors (i.e. air purification details, sunlight, watering consumption, viability, health condition, soiling, and fertilizer requirements). Figure 1 presents the block diagram of the proposed ideas.

Figure 1: Proposed project block diagram

Benefits of the Project

The basic benefits provided by the proposed project are:

• The literature review of the previous studies that have been done in this project will help the researchers to enhance this work in multidiscipline.
• It will benefit end-users by providing auto plant growth detection techniques through which they can monitor and control their plant's growth level. 
• It will provide a detailed comparison regarding different species of plants with regards to air purification details, sunlight, and watering consumption, viability, health condition, soiling, and fertilizer requirements.
• The proposed idea uses minimum resources such as cost, time, equipment, and human effort with maximum benefits of enhancing the user plants basic learning knowledge and skill.
• The dataset generated by the proposed software using deep learning techniques will be used for further research.

Technical Details of Final Deliverable

In the end, we will deliver the code and the documentation in the form of a final project report containing all the proposed algorithms pseudo and implementation code.

Final Deliverable of the Project

Software System

Core Industry

IT

Other Industries

Agriculture , Energy

Core Technology

Augmented & Virtual Reality

Other Technologies

Artificial Intelligence(AI)

Sustainable Development Goals

Good Health and Well-Being for People, Affordable and Clean Energy, Industry, Innovation and Infrastructure, Climate Action, Life on Land

Required Resources

If you need this project, please contact me on contact@adikhanofficial.com