A Flutter App for AI-Based Plant Disease Detection

A brand-new plant care detection system that combines a Flutter application and a convolutional neural network (CNN) model is being introduced, offering plant care enthusiasts an advanced but approachable solution. A thorough plant care experience is provided by this cutting-edge solution, which utilizes Python and AI. Based on the condition of the plant, the CNN model has been trained to evaluate photos of plants and make care recommendation. The interface is the Flutter application, which makes it simple for users to take and submit pictures of their plants for examination. In addition to offering care advice, appropriate plant types are identified by the system’s AI algorithms based on user preferences and environmental factors. Real-time plant health monitoring is also allowed for by the technology, alerting users to any problems that need to be addressed. Our tests show that a smooth and efficient way to take care of plants is provided by this integrated system, enabling users to easily maintain happy, healthy plants. A state-of-the-art plant care detection system is proposed by this research, combining a Flutter application with a Convolutional Neural Network (CNN) model, offering a reliable and easy-to-use solution for plant aficionados. A thorough plant care experience is provided by the system by utilizing AI and Python. Plant image analysis and conditionbased care suggestions have been used to train the CNN model. The interface is the Flutter application, which makes it simple for users to take and submit pictures of their plants for examination. In addition to offering maintenance guidance, appropriate plant species are recommended by the AI algorithms based on user preferences and environmental parameters. Additionally, real-time plant health monitoring is allowed for by the technology and users are alerted to any problems that require care.