The agriculture sector is the main building block of India and approximately 71% of individuals are based on it. The agriculture production yield ought to be inclined speedily for local population in our country. In this contemporary world, many real-time problems are solved by using the WSN. However, in the agriculture WSN is used for observing, calculating temperature and agriculture yield, inundation system, calculating water supply because the agriculture is predominant for many living organisms. The yield is affected by numerous problems such as, climate change, natural disaster and environmental changes. Wireless sensor network works for communication wirelessly. So, that data sensed from the sensor node can be collected at the base station. This Collected data will be further processed and analysed. The wireless agriculture sensors are scattered in the agriculture land for extracting different information related to soil composition, like humidity, temperature, moisture levels, and water level finders and also increase the overall productivity of the agriculture. In this article, we are comparing the different energy efficient algorithms such as; LEACH, PSO algorithm, BFAO algorithm and proposed method with each other to determine the network throughput, packet drop ratio, no. of alive nodes, variance and residual energy.