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Agriculture is vital in human evolution and was the first activity to be emphasized ever since the beginning of time. With the population growing constantly, there are inventions of new means in the production of food to cater for those demands. Improvement in a variety of technologies is one of such effort conducted for the cause. Robotics or chemical technologies may not be the only improvements that could be exercised. Internet of Things (IoT) technology is one of an application widely used currently. The study aims to establish a less manpower plantation in smart city with the use of IoT technology to improve the crop cultivation. In preliminary, a wireless soil moisture monitoring and irrigation system was developed. The system aims to monitor the moisture and properties of soil for plants. At the same time, with a self-sufficient and self-organized irrigation system based on the water-control algorithm. The developed system covered the three layers in IoT architecture: perception layer, network layer and application layer. In perception layer, a microcontroller, soil moisture sensors and solenoid valves acted as the sensors, transducers and actuators. Wireless networking technology (WiFi) was used as the communication for data transmitting and receiving. Through the developed application, humidity and irrigation volume were collected, recorded and analyzed. These preliminary results help in visualizing the concept of a less manpower plantation in smart city.

This paper introduces a human computer interaction system by using hand gesture recognition to apply into game-based rehabilitation application. The basic concept of this project is to assist patient to carry out rehabilitation with hand gesture recognition, meanwhile therapist is able to follow recovery progress of patient through results. In this manner, a rehabilitation system created aimed to increase efficacy in patient treatment with interactive game. The system is applied in real time application to contribute as a function of a virtual mouse. Approach proposed including hand region segmentation, hand palm partition and finger counting. Computer mouse is configured to move according to the location of hand palm region, and perform function of ordinary mouse according to number of fingers detected. In the analysis, experiments is carried out to show how this system collaborate with the simple rehabilitation game in computer. Experiment evaluation as shown has successfully demonstrate the effectiveness and robustness in performing the mouse function and feasible to be implemented into rehabilitation games.