Plant Care AI an AI Based Solution for Plant Disease Diagnosis and Assistance -A Comprehensive Survey

The field of plant care has seen significant advancements with the increasing application of artificial intelligence (AI) and machine learning (ML) techniques across various domains. This review explores the integration of deep learning and machine learning with image recognition technologies for plant disease identification and treatment. The aim of the proposed project is to develop a comprehensive web application tailored for plant care, featuring automated plant disease detection, treatment recommendations based on identified conditions, suggestions for nearby nurseries to acquire necessary materials, and chatbot support for user inquiries. By leveraging advanced image recognition methods, the proposed system seeks to enhance the efficiency and accessibility of plant maintenance practices. Additionally, the inclusion of Google Maps facilitates seamless navigation to local nurseries, improving the user experience and promoting proactive plant care management. This study provides an overview of current methods, discusses potential opportunities and challenges, and proposes a framework for developing an intelligent plant care system to address the evolving needs of horticulturists and farmers.