| Abstrak/Abstract |
The issue of hunger and food security has become an international issue and is included in the Sustainable Development Goals (SDGs), namely zero hunger, achieving better food and nutrition security and supporting sustainable agriculture. To overcome the future challenges, smart agriculture which use sophisticated technologies such as robots, temperature and moisture sensors, aerial images, and GPS technology will let agro businesses be more profitable, efficient, safer, and environmentally friendly. In Indonesia, the operation of irrigation gates is carried out manually resulting in a lack of accuracy and timeliness of the allocation of water discharge. This resulted in a reduction in the efficiency level of providing water to plants. Smart sluice gate with the ability to control the opening gate automatically is developed in this study by adding a sensor to detect water level, motor and controls for raising and lowering the gate to open the sluice gate automatically and Comparing the efficiency of smart sluice openings with conventional water distribution. The tests carried out in this study used multiple linear regression and hydraulic analysis using the Bernoulli equation. Development of the smart sluice gate used the NodeMCU ESP 8266 microcontroller and soil moisture sensor and ultrasonic sensor HC/SR 04 with components such as servo motors, relays, step-up modules, step-down models, and Japanese oriental AC motors. The water discharge generated at smart sluice gates is more varied with the average efficiency of smart sluice gates is 64%, while conventional sluice gates produce an average efficiency of 63%. |
