There are numbers of disadvantage in the current existing systems for water quality monitoring which are generally limited to only a few varieties of parameter provide when there and need to be sending through manual operation. This type of security systems required a device which could send alert signal to the sub – stations and is very time consuming process. The quick warning or alert is not possible in the current existing system because they need some manual operation to be performed which could send the data and this cause a huge casualty because sometimes if the area is not in taken care of then it may cause huge causality to human as well as marine habitats. For such condi-tions a system required which automatically reads the sensor values (parameters) compares them with the threshold of fresh air and water parameters and if this level is above the threshold then automatically send alert with the pin point location to the sub – stations.

It can be admitted that multi robot systems have better possibilities of success in accomplishing surveillance and rescue missions. In proposed system, a multi robot system based on swarm intelligence is developed which will help in surveillance with real time data uploading on cloud using IoT and perform rescue missions. The objective of this paper is to develop wireless intercommunication between multiple agents so that they perform the given task in synchronized manner and to develop a control strategy for robots using PID technique and further optimizing it using ant colony optimization (ACO) algorithm. The presented system consists of two robots with temperature sensing, fire sensing and hazardous gas sensing features and a hand held device which receives this information and handheld device is incorporated with the NodeMCU unit that upload the data on BLYN app. These robots also have capability of sending live videos using wireless camera. The paper also consists of development of hardware along with simulation results of the system.

To improve the production of agricultural, monitoring of the different parameters in the field has been proven to be the powerful tool. With the advent of technology crop monitoring may be achieved at very precise level; however Wireless Sensor Area Network result in low power and low cost deployments and Cloud based field monitoring is becoming a dominant option. So a method has been developed for agricultural systems that act as phonological indicators of various seasonal developments in the field and number of climate effect upon the regional growth over the crop for a broad region using (IoT) Internet of Things. The developed platform has been evaluated for various field parameters, creating a WSAN with a base station to record various parameters and finally uploaded this parameter to the Internet server. The performance result of the developed system has shown the feasibility and confirms its future aspects in broad sense.

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The ongoing development of artificial intelligence and machine learning is enabling robots to become more observant. This advancement allows robots to be utilized in situations where humans may not have control. One example is the use of delivery robots for "last mile" delivery services. These robots can be remotely controlled by an operator in cases where they encounter obstacles. Delivery robots have various applications such as room service, package delivery, food delivery, and hospital deliveries. A research study focused on developing an algorithm that enables autonomous path generation using a GPSbased coordinate system. The algorithm allows the robot to create its own path between its current position and the destination using GPS co-ordinates.