The internet of things (IoT) is a revolutionary communication paradigm that aims to offer manifold new services in the context of aquaculture. Advancement of embedded chips and computers like Audrion, raspberry pi has provided a great platform to leverage the services in both agriculture and aquaculture. The quality of water parameters plays a critical role in rising aqua organisms like fish and prawns. The data from the sensors like pH, temperature, TDS, etc., are transmitted to the cloud as well as to the farmer. In this chapter, we propose an IoT-based monitoring mechanism for the water quality parameters, a vital parameter for ensuring healthy aquaculture and hence increase productivity. By using PyCharm, we train a model that suggests for a solution on encountering a problem. A new method is proposed for feeding the organisms with the help of a feed sensor. Feed sensor senses the behavior of the hungry fishes and signals the feeder to deliver the foodstuffs to the pond. This reduces majority of the food waste and hence saves money. In this chapter, the quality of water parameters is trained using support vector machine (SVM).