IoT-Based Architecture to Monitor the Quality of Animal Fodder and Prototype to Extract the Grass Color

As population rises, agriculture sector is growing day by day. Animal feed is the dominant part of the agriculture sector. Presently India is one of the massive animal feed manufacturers in the world. As the population is high, so indirectly demand is also increasing. To meet this demand, there are a number of challenges occurring in the farming sector like changing weather conditions, high prices of material, and increasing demand. So here, image processing and Internet of Things (IoT) technology have big contributions in the farming sector. In the traditional method, the freshness of green grass is visualized by manually and cannot find the route information of vehicles while transportation. With the use of proposed architecture, get the fresh quality of animal feed as well as real time route information of vehicles by using Image Processing and wireless sensor networkd (IoT) methods respectively.. With the use of this architecture, farmers and suppliers increase their annual income and animal health is good to get the right nutrients in animal feed which is profitable to consumers. With the help of machine learning and image processing techniques in the proposed model, we can extract the color of grass as well as find the RGB range. Using K-means clustering, different dominant colors can be extracted.