Perancangan Miniatur Pintu Air Otomatis Berbasis Sensor Water Level dan Arduino Uno pada Sistem Irigasi Persawahan

The arrangement of the floodgates for rice irrigation canals is currently still using the manual method. This is very burdensome for farmers because it requires time and energy. Therefore, we need a sluice in the irrigation canal that can be done automatically. The purpose of this research is to design a miniature sluice system that can automate the sluice gate in opening and closing the sluice gate based on the water level limit of the channel. The method used in this study is the use of Arduino Uno as data storage, a servo motor that functions as a floodgate controller, a water level sensor to open the floodgate and an ultrasonic sensor that functions to determine the water level. The results of the tool testing in the research of the miniature automatic sluice gate that has been designed, namely the automatic sluice gate will open when the water sensor at the top is exposed to water. The ultrasonic sensor will measure the distance between the sensor and the water surface to make a decision to close the floodgate. If the sensor distance with the water surface is still 14 m, then the floodgate will open 1800, if the sensor distance with the water surface is 4 cm and 14 cm, then the floodgate will open 900 and if the distance between the sensor and the water surface is 4 cm, then the floodgate will be closed.

Electronic Assistant for Impaired People

For people with serious visual impairments, a system is proposed that helps to identify obstacles and call for help in an emergency situation. The system is based on a microcontroller and optical, acoustic and electric sensors connected to it, as well as GPS and GSM modules. Modules interact with a person using voice communication. According to the World Health Organization (WHO), 39 million people worldwide are blind and 246 million are visually impaired [1]. People with partial or complete loss of vision face many problems in their daily lives, especially the problem of movement and orientation in the field. A blind person usually uses a traditional stick to improve their mobility. However, the stick cannot provide a person with information beyond his reach. There are smart sticks that use one camera, or several video cameras mounted on the stick to capture images. Captured video images are resized, further processed and converted into acoustic or vibration signals. In such systems, the frequency of the warning signal correlates with the pixel orientation of the camcorder. There are also systems that use ultrasonic sensors to detect interference. The value of the distance to the obstacle, measured by a sound wave, is transmitted to the microcontroller, which sends a sound signal through the speaker. The disadvantages of such systems are the inability to detect hidden obstacles that are dangerous to the visually impaired, such as stairs, pits, puddles, and so on. The proposed system solves these problems by combining the capabilities of acoustic and optical sensors, as well as a water sensor. Support for a person in a difficult situation is also provided by establishing a telephone connection with a trustee. The GPS location information is received by the GPS module and the microcontroller sends this information via the GSM module to the specified contact number. The system consists of a microcontroller (control of the electronic assistant), a sensor system that receives information about the location of a person and obstacles in its path, an effector system that sends a person acoustic and vibration signals about detected obstacles, as well as a communication system. connects: 1) two ultrasonic sensors to detect obstacles located in front at knee height and at head height; 2) infrared sensor to detect stairs and terrain; 3) water sensor to detect puddles. The sensors collect data in real time and send it to the microcontroller for processing. After processing the sensory information, the microcontroller sends vibrations and acoustic signals to the person, respectively, on the vibrators installed in the stick head, and on the Bluetooth headset. The system is powered by a recessed battery (not shown). This article proposes a system that helps a visually impaired person to reach their destination safely. The system uses a variety of sensors to detect interference and warn of interference with an audible signal and vibration. The intensity of the sound signal and vibration increase when a person approaches an obstacle. The GPS module tracks the user's location. In case of a dangerous situation, the GSM / GPRS module establishes a connection between a blind person and a trustee.

Smart Blind Stick Design and Implementation

Technologies are rapidly evolving, allowing people to live healthier and simpler lives. Sightless people are unable to carry out their everyday activities, such as walking down the street, visiting friends or relatives, or doing some other mundane tasks. As a result, the smart stick is a stick that can assist a person in walking safely without fear of colliding with another person or solid objects is proposed as a solution to this major issue. It is a development of the traditional blind stick as it acts as a companion for the blind when walking by sending audio alerts to the blind via a headphone connected to the phone with obstacles (water/walls/stairs / muddy ground) and also enables him to make a phone call to ask for help. EasyEda software was used for designing and simulating electrical circuits, was used to model the electric circuit. This system functions similarly to a white cane in that it assists blind people in scanning their surroundings for obstacles or orientation marks. This system will be mounted on a white cane with an ultrasonic sensor, and a water sensor to detect changes in the environment. Ultrasonic sensors detect obstacles in front of it using ultrasonic wave reflection, water detection sensors detect whether there is a puddle.

Management of trickle irrigation for banana: Hydrodynamic processes and sensor placement at the root zone

ABSTRACT Information on soil hydrodynamic processes assists in explaining the soil-water-plant relationship and has practical applications to irrigation management, such as the definition of soil water sensor placement. The objective of this study was to detail the hydrodynamic process in the soil root zone and to define the location for placement of soil water sensor under different configurations of trickle irrigation in banana crops. Three micro-sprinkler emitters with flow rates of 70 (T1), 53 (T2), 35 L h-1 (T3), and two drip system, one with one drip line per row of plants (T4), and another with two drip lines per row of plants (T5) were evaluated. The experiment was conducted in a randomized block design with five repetitions. Higher water extraction was found for irrigation systems with higher flow rates for all configurations of trickle irrigation systems. Soil moisture sensors in drip systems should be placed at distances of 0.75 to 0.81 m from the pseudo stem and at depths of 0.33 to 0.44 m. Under micro-sprinkler systems, soil water sensors should be placed at 0.75, 0.77 and 0.83 m from the pseudo stem towards to the emitter and at depths of 0.33, 0.48 and 0.55 m for emitter flow rates of 35, 53 and 70 L h-1, respectively.

METODE BUDIDAYA TAUGE DALAM SMART GREEN HOUSE DENGAN SISTEM PENYIRAMAN OTOMATIS

There are many techniques to cultivate mung bean sprout, however the process requires many human involvements which can cause problems, such as forgetting to water the mung bean sprout, cutting the tail which must be cut one by one, finding the ideal location, and detecting water leakage. In this research, mung bean sprout will be grown with an automatic watering system in a Smart Green House system, which is able to monitor the mung bean sprout using technologies such as light, temperature and humidity sensors to determine the ideal place of cultivation, water level sensor to measure remaining water level in the container, and water sensor to detect water leakage from the planting medium. Arduino Mega 2560 is used as the microcontroller in this system. The sensors and components used in the system includes Light Dependent Resistor GL5506, Water Sensor Funduino, buzzer, Ultrasonic Ping HC-SR04, Humidity and Temperature Sensor DHT11, potentiometer, servo motor, relay with 12V pump, Knee and Nipple Watering System, and Fogger Head Sprayer. The system is able to cultivate mung bean sprout with length of 3-5 cm, without losing their color in the process, and can be harvested without tail.