Search

Freshwater lobsters have a high mortality rate due to poor water quality or cannibalism between lobsters. In the lobster cultivation process, the process of monitoring water quality and feeding is done manually so that it has problems in the monitoring and feeding process that is carried out at night because lobsters are nocturnal animals. This study uses freshwater crayfish with the type of red claw with a total of 20 lobster seeds in 2 ponds with an Internet of Things-based system and integrated web monitoring and without an IoT system. This study aims to build a system that can increase the survival of freshwater crayfish using an IoT-based system called Smart Lobster Feeder. The analytical methods used include Observation, Literature Study, and Interview. The development method used is the waterfall method with 6 stages of the process, namely Planning, Analysis, Design, Implementation, Testing, and Verification. This research uses the ESP8266 microcontroller, ESP32 Cam, water salinity sensor, pH sensor, temperature sensor, ultrasonic, and website monitoring. The results in this study obtained a sensor error rate value of < 1.5%, UAT results of 94%, automatic feeding according to the specified hour, and a survival rate of 100%. From the study results, it can be concluded that the IoT system can increase the survival rate of freshwater crayfish, has a sensor error rate that is by established standards and is a feasible system to implement. [ABSTRACT FROM AUTHOR]

Copyright of Congreso Internacional de Investigacion Academia Journals is the property of PDHTech, LLC and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

In order to realize remote control intelligent car by wireless network, STC89C52 is used as the main control CPU, and wireless WIFI module ESP8266 is adopted. The system uses STC 89C52 as the development platform, sends commands to ESP8266 through the serial port AT commands, configures the corresponding address and port number, sets ESP8266 as TCP server and enables WIFI at the same time, connects ESP8266 to control the car through the APP. PWM speed control function and adjusting the speed value of the car are analyzed through gravity sensor. The test results show that the purpose of wireless remote control car posture has been realized, and the work is stable. [ABSTRACT FROM AUTHOR]