CSEIT172254 | Received: 10 March 2017 | Accepted: 20 March 2017 | March-April-2017 [(2)2: 223-228] International Journal of Scientific Research in Computer Science, Engineering and Information Technology © 2017 IJSRCSEIT | Volume 2 | Issue 2 | ISSN : 2456-3307 223 Remote Intelligent For Oxygen Prediction Content in Prawn Culture System V. Vinothini, M. Sankari, M. Pajany Computer Science Department, IFET College of Engineering, India ABSTRACT In this work monitoring the Dissolved oxygen concentration in water tank. The problems caused by manual monitoring in prawn farming, a remote intelligent for oxygen content prediction in prawn culture system are proposed. The proposed system is on oxygen sensor in detecting the water quality and measuring the oxygen level in the water and Short Message Service (SMS) technology is delivering alert to the owner upon detection of water quality in oxygen level. The SMS can be send to the owner through Global System for Mobile Communication (GSM).Dissolved oxygen, Temperature, pH are the three water quality parameter that are critical to the prawn health. Remote 24 hour monitoring of the prawn tank to avoid the organism death caused by oxygen drops. If the oxygen level is low, the motor will be automatically ON / OFF, at the same time the message can be send to the owner. In this paper monitoring the oxygen level and SMS send to GSM by automation techniques. Keywords : Global System for Mobile Communication (GSM), Automation, Oxygen Sensor I. INTRODUCTION Aquaculture is the farming of aquatic species in natural or controlled marine or freshwater surrounding environments. Since 24 years ago, aquaculture industry is blooming and it has been identified as the most popular method in fishery. However, one of the pertinent yet persistent issues faced by aquaculture farmers is how to efficiently monitor the water quality parameters of their ponds. Maintaining water quality parameter is the most important factor in determining the aquaculture farming. Many fish and prawn have been found dead organism due to oxygen drop perturbation in aquaculture ponds. In most of the aquaculture industries, manual water quality parameters monitoring in order to access the water quality of the pond. The monitoring activity includes inspection at the pond to ascertain the current water quality. The test is usually to monitor and measure the ammonia, temperature, pH level and dissolved oxygen (DO) level in water. Only trained persons can conduct the test. They have to take samples of the water and perform test. Each and every test takes between five and ten minutes. Thus, the process is time consuming and cost consuming. In addition, aquaculture farms are daily monitoring and inspecting of the ponds will be expensive, efficient and time consuming. Aquaculture farmers monitor the water quality parameters on a regular basis but without having to visit the ponds. It has also been discovered that aquaculture farms have requested for a system to monitoring the aquaculture environment and alert the owner when oxygen level is low. Therefore, to solve the problems, remote intelligent for oxygen in water quality monitoring systems were proposed. However most of the proposed systems, implementations were meant for others species and limited number of literatures are exists for prawn monitoring. Thus, this paper aims to present the details of the design and implementation of remote intelligent for oxygen content prediction in prawn culture system is proposed. The system is also equipped with an alert message to inform the owner on the degradation of water quality parameters via Short Message Service (SMS) through GSM modem. The three criteria that has been identified to measure and monitor and to detect water quality parameters changes are water temperature, pH level and DO. II. METHODS AND MATERIAL 1. Related Work