IOT Based Submersible ROV for Pisciculture Pisciculture refers to the controlled commercial breeding and raising fish in tanks or enclosures such as fish ponds. An automated IOT based system for fish farming has been developed which actually reduces the human effort required and maximize fish production. Our system can be placed in the center of a submersible ROV and explore underwater for realtime monitoring of fishes and water quality parameters. Multiple sensors are integrated into the system to record essential data and the system sends these data to the user through Message Queuing Telemetry Transport (MQTT) protocol. A Single Board Computer is used for processing images which provides fish counting and fish size measurement. The user can also control different aqua tools and calibrate the sensors via IOT. Moreover the system can closely monitor for any changes in the fish environment and notify the user and take necessary actions to reestablish a suitable environment.

Implementation of IoT Networks Based on MQTT for Wildlife Monitoring System With the widespread use of the Internet of Things (IoT), use cases in IoT have been considered for solving social problems in various fields such as agriculture, welfare, disaster prevention, and transportation infrastructure. Additionally, crop damage caused by animals is a common occurrence all over the world. An example of such damage is the damage to agricultural crops and threat to elderly people owing to animals in Hakusan city, Ishikawa prefecture, where the Hakusan campus of the authorsu0027 university is located. Presently, measures against damage caused by animals are being implemented by installing animal traps and cages; however, it is necessary to patrol the conditions of capture, thereby increasing human effort. To solve this problem, the authors considered a wildlife monitoring system to remotely manage a cage by using a sensor or camera with Internet connectivity. Assuming that a large number of IoT devices would be used in such a system, the authors visualize a high network load problem. Therefore, the authors aim to reduce the load on the IoT network. In this paper, the part of the wildlifemonitoring system that is concerned the evaluation and consideration of network using MQTT is described.