Correlative Approach Of Knn And Mqtt For Getting Better Yield In Iot Based Aquaculture

Abstract

The objective of this paper is to improve the quality of fish product by managing from different clustering aspects of fish growth and quality. The fish products are monitored by using different cluster levels based on the quality and productivity. The approach followed in this paper will use the sensor technology to identify the quality of aquaculture products. The technology used behind this paper is to maintain different clusters and communicate among the clusters using light weight sensor protocol MQTT. The protocol being used in this paper is convenient to maintain the best fish products, quality, high yielding and maintain regular productivity. This paper also provides the correlative approach with KNN and MQTT algorithms for better yielding. This paper provides the suitable protocol and algorithm suitable to quality fish growth in the ponds which provides better atmosphere for the fish growth. The future scope of this paper is to look for best time to market and care to be taken for the aquaculture fish quality and safety.