Fuzzy Computing Testing and Study Hydroponic Dosing Systems for Rural Indian Subsistence Farmers Using AI and IoT

In this study, we look at how well smart hydroponics systems supported by the Internet of Things (IoT) work for small-scale farmers in India's rural areas. The framework undergoes training using Fuzzy Logic artificial intelligence. A fuzzy logic model was created as part of the research carried out in this study. The monitor is connected to the Internet of Things (IoT) collects the data., this framework accurately finds and modifies the output. These instruments are useful in observing the environment variables of the hydroponic setup as well as keeping the fertilizer solution in check. An initial test carried out shows that the real time data generated and collected for testing made up the model evaluation. These are the phases that are undertaken to ensure that the accurate determination of the values are noted for the purpose of changing the environment variables of the hydroponic setup. The study findings describe how the system successfully determines the correct values that are required for the microcontroller., thus confirming that efficacy of Fuzzy Computing and AI used in the hydroponics setup. Here., the emphasis is given to provide accuracy towards the Fuzzy Computing and AI for rural subsistence farmers., especially in the lower to middle income nations. The research also mentions about importance of integrating solar power-enabled system with nearby available Wi-Fi networks., in contrast with the cloud-based IoT platforms so as to optimize the use of Fuzzy Computing - AI in the hydroponics system within the particular environments.