Identifying And Imparting A Suitable Data Mining Methods For Precision Agricultural Practices

Abstract

Numerous ongoing projects and a growing global population continuously put pressure on the agricultural sector. As much as 70% more production efficiency is needed for all types of crops from the same land resources in order to meet demand without negatively impacting the environment. At the same time, one-third of our food is wasted. Other variables, such as global warming, more frequent storms, water shortages, and problems with soil and water stream contamination, which can result in waste and decreased output, might make it more difficult for farmers to fulfill the growing demand for crops for human and animal use. We evaluate a technology to help manage these problems. We examine a technology to help the agricultural sector, which will benefit both farmers and the general public by producing high-quality, safe food that satisfies both present and future demand, in order to control these difficulties. Smart farming, the Internet of Things, big data, high-performance computing, and cloud computing are all combined in the solution to provide precision agricultural services innovation that address real-world issues. The creating a solution with a data-driven applications will be facilitated by storing agriculture data on supercomputers. In soil and plant research, supercomputers store information from multiple sources, including sensors on the ground. It is possible to collect valuable operational information about soil quality, crop nutrients, forecasts of crop yields, the best harvesting time, gas emissions, and soil contamination through satellite and drone imagery. Through machine learning and artificial intelligence, the supercomputer also extracts crucial data and converts it into apps that are sent through different routes, with direct delivery to farmers' cell phones being the most convenient. In this paper we will be discussing about best practices we carry forward to implement a precision agriculture practice in India.