The purpose of the Environment Control System for radish with Internet of Things project is to control the environment of radish cultivation in a planting house. The working process of this project is separated into two parts. The first part hardware control is to control temperature moisture and illustrated the working status on LCD. The second part software control is collected data from all sensors and then published results on the website via MQTT protocol. The Environment Control System for radish with Internet of Things project is evaluated by measuring the value of temperature and soil moisture from the system compare with the value from reliable instruments. The test results show that the system can measure the temperature and soil moisture correctly. Moreover the software function of the system has fulfilled the requirements.

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 presents a bamboo chopsticks machine with automatic control system. The production of bamboo chopsticks the current will be cut to get the machine to enter the bamboo chopsticks using the machine. The machine will hammer bamboo rotation of the electric motor. The AC motors with high power. Currently the production of chopsticks mostly small businesses. Lower costs which resulted in lack of effective security. This research presents the design and techniques with bamboo chopsticks production automation. The objective is to make the production of bamboo chopsticks are secure and compliant. To increase productivity and reduce the danger of the machine. In designing the Arduino technology is used in the development of electronic prototypes designed to be user for both hardware and software advanced application control equipment used in the production of chopsticks for safe to use on the incidence of danger from the use.

Metaheuristic optimization approach has become the new framework for control synthesis. The main purposed of the control design are input (command) tracking and load (disturbance) regulating. This research proposes an optimal proportional-derivative (PID) controller design for the brushless dc (BLDC) motor speed control system with input tracking and load regulating constrained optimization by using the cuckoo search (CuS) one of the most efficient population-based metaheuristic optimization techniques. The sum-squared error between population-based metaheuristic optimization techniques. The sum-squared error between the referent input and the controlled output is set as the objective function to be minimized. The rise time the maximum overshoot settling time and steady-state error are set as inequality constraints for tracking purpose while the regulating time and the maximum overshoot of load regulation are set as inequality constraints for regulating purpose. Results obtained by the CuS will be compared with those obtained by the particle swarm optimization (PSO) and genetic algorithm (GA). From simulation results it was found that the parameters of CuS were optimal than both PSO and GA for BLDC motor speed control system satisfying the preset input tracking and load regulating constraints. In addition the simulation results are confirmed by the experimental ones from the BLDC motor speed control system developed in the laboratory.

This abstract discussed the implementation of speech recognition applications to control the on-off electrical device of speech. The work is divided into two modes. Offline mode and online mode. To use voice commands to turn on-off electrical device. Which the words sound as a statement. The speech sounds in offline mode is saved in SOPARE voice and speech mode are saved online in Google Assistant via the microphone. Then process the Raspberry pi 3 board to send data to the wireless transceiver module to control the power on-off. From testing the control system for opening and closing electrical devices with sound it was found that the sound test in the offline mode of the power-on-off control system with sound the accuracy of 96 percent of the voice command and the accuracy of the lamp according to the voice command spoken 100 percent accuracy. Sound tests in the online mode of the power-on-off control system with sound the accuracy of 8 7 percent voice commands and the accuracy of the lamp according to the voice command spoken 100 percent accuracy. The power-on-off control system with sound. Can be used to effectively control the opening and closing of electrical equipment. Only the user speaks the voice commands as needed and can immediately turn on-off the electrical equipment. Helps reduce steps and shorten the time of use making it more convenient