The raising of silkworms for silk production is known as sericulture or silk farming. After China, India is the world’s second-largest producer of silk. In India, sericulture helps around 10 lakh people find work, either directly or indirectly. India’s Karnataka state produces more silk than any other state. The creation of silkworm seeds is crucial to boosting the output of silk. To create a big number of silkworm eggs, grain is employed. It is imperative for farmers and producers of silkworm eggs to count their eggs to prevent losses. The manual counting methods used to count silkworm eggs currently in use are labor-intensive and waste time. The needle in a calculator method also damages the eggs. The temperature and humidity of the surrounding air have a negative impact on silkworm productivity. Throughout their life cycle, silkworms go through a variety of modifications, so it takes some automation to track their development constantly and boost both their quality and quantity. Therefore, to prevent loss to farmers and horticulturists, automatic procedures such digital image processing techniques are utilized to count the quantity of eggs. Different image processing and Internet of Things (IoT) methods used to track and determine the silkworm egg count are presented.