Abstract
An Artificial Intelligence and IoT incorporated frost forecasting is proposed in this novel work. The objects present inside a greenhouse are connected to each other through Internet of Things (IoT), using devices such as actuators, sensors and assisting aids. A smart system incorporating IoT is designed, developed and implemented using Fuzzy associative memory and Artificial Neural Networks (ANN) in order to manage any ill effects in irrigation caused due to frost conditions. The temperature inside the green house is monitored continuously on comparison with the outside temperature, thereby steps are taken to stabilize the temperature to make it suitable for plant growth. The temperature inside the greenhouses are forecasted by means of ANN and using fuzzy control, temperature of the crops are predicted and watered as per the required using 5 levels of water pump output. The output obtained is analyzed and compared with similar Fourier-statistical method and it is found that the proposed methodology provides a more effective prediction of temperature.
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