Treffer: Design and Development of IoT Based Smart Farming for Plant Disease Detection.

This research will examine the many kinds of plants and the various diseases that could harm them before developing a technique to detect plant ailments. Farmers should emphasize the diagnosis of plant diseases when planting in the garden. The procedure of identifying plant illnesses takes a long time if the garden space is too large. Arduino cameras were used to communicate with a system as a result of the development of new technologies like the Internet of Things (IoT). IoT-based Smart Farming for Plant Disease Detection's objectives are to explore plant disease detection with an object-oriented methodology, create a system that includes plant disease classification with machine learning techniques and assess the system. The Agile software development process consists of the following steps: planning, designing, developing, testing, releasing, and receiving feedback. The project was created using Python as the programming language, Flask as the Python web framework, MySQL as the database, Jupyter Notebook for creating model classification, and Visual Studio Code as the code editor. Customers will be able to use both the newly developed system and IoT cameras. This method may therefore more accurately boost evaluation efficacy and efficiency. [ABSTRACT FROM AUTHOR]

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