Abstract

This project aims to develop an Android-based application for the identification of plants and diagnosis of their diseases. Leveraging image recognition technology and plant pathology databases, the application will empower users to identify plant species and detect diseases using their smartphones. By providing real-time assistance and actionable recommendations, the application seeks to facilitate early detection and treatment of plant diseases, promoting sustainable agriculture and environmental conservation.

Introduction

Plant diseases can significantly impact agricultural productivity and food security. Early detection and accurate diagnosis of plant diseases are vital for effective disease management. However, identifying plants and diagnosing diseases accurately can be challenging for individuals without specialized knowledge. This project proposes the development of an Android application to address these challenges by leveraging image recognition technology and comprehensive plant pathology databases.

Problem

Identifying plant species and diagnosing diseases accurately require expertise in botany and plant pathology. Traditional methods involve manual observation and consultation with experts, which can be time-consuming and inaccessible to many individuals. Additionally, misdiagnosis or delayed treatment of plant diseases can lead to significant crop losses and environmental damage. There is a need for a user-friendly and accessible solution that enables individuals to identify plants and diagnose diseases using readily available technology.

Aim

The primary aim of this project is to develop an Android-based application that allows users to identify plants and diagnose diseases using their smartphones. The application will utilize image recognition algorithms to analyze plant images captured by the device’s camera and cross-reference them with a database of plant species and diseases. The goal is to provide users with accurate identification and diagnosis results, along with recommended treatments or preventive measures.

Objectives

1. Research existing plant identification and disease diagnosis methods, as well as available plant pathology databases.

2. Design an intuitive user interface for the Android application, incorporating features for capturing and analyzing plant images.

3. Develop image recognition algorithms capable of identifying plant species and detecting common diseases from images.

4. Integrate the application with a comprehensive plant pathology database, including information on disease symptoms, causes, and management strategies.

5. Implement real-time analysis of plant images and provide users with instant identification and diagnosis results.

6. Include features for users to access additional information on identified plants and diseases, including treatment options and preventive measures.

7. Conduct usability testing and gather feedback from users to iterate and improve the application’s functionality and user experience.

Research

The project involves research in image recognition, plant pathology, and mobile application development. Initial research will focus on understanding existing plant identification and disease diagnosis methods, as well as available plant pathology databases. The design phase will involve creating an intuitive user interface and designing image recognition algorithms suitable for deployment on Android devices. Development will include integrating the application with a comprehensive plant pathology database and implementing real-time analysis of plant images. Collaboration with botanists, plant pathologists, and agricultural experts will ensure the accuracy and relevance of the application’s identification and diagnosis capabilities. Ethical considerations, such as data privacy and accuracy of information provided, will be addressed throughout the research and development process.