Objective of this research is to research intelligent hydroponic vegetable cultivation control system for farmers. This is a group of lettuce that needs acid-base (pH) and conductivity (EC) in the same system on the planting table with Dynamic Root Floating Technique System (DRFT). By using Internet of Things (IoTs) devices as sensors For controlling the on-off system of the water filling system the on-off of nutrient solution A and B as well as the water spray system to reduce the temperature at the vegetable growing table. The developed hydroponic vegetable control system can effectively replace the workers labor. Vegetables grown are of the same quality used by farmers. Therefore the developed salad cultivation system could be used as a substitute for farmers. It has an easy to use control system.

This research is to develop a prototype of a salinity intrusion monitoring system using fuzzy logic to extract salinity values. A system is developed according to a fuzzy logic model using FAOs for appropriate agricultural water quality data considering the electrical conductivity (EC) and total dissolved solids (TDS) as indicators of the salinity value by using the Fuzzy Logic Toolbox to produce and test the generated model. Transformation of the generated models to Embedded C format using the Simulink Coder tool installed in the ARM STM32F microcontroller and a 10-fold cross-validation test was used to validate the data extraction. The Root Mean Square Error (RMSE) for the test results was 0.58175 on average. This research result indicates that the generated model is able to extract data that very closely matches the specified data.