Agriculture is the foundation of all nations in the developing world. More than 3/4 of rural families depend upon agriculture to provide food and business. Agriculture is a significant part of the Indian economy since the sector is responsible for about 17% of the GDP and provides employment that employs more than 60% of the people. The farming decisions of farmers are influenced by the global economic climate and the fluctuating price for commodities, trade-related issues, and the possibility that harvests can be affected by weather, bugs or even diseases.

Big data has entered every aspect of the economy in the last few years. It is now being applied to agriculture at a rapid rate. The term "big data" refers to the result of the combination of analytics and technology that collects and analyzes data more efficiently to assist in effective decision-making. The main reason behind introducing new technologies into agriculture is to increase performance, profitability, and sustainability. Precision agriculture collects relevant information from different sources and transforms the information into valuable data which can be utilized to enhance the efficiency of business processes and solve problems.

Live data about how farmers use the resources can help maximize productivity. Making the right decisions when there are shifts in conditions during conditions or outbreaks of diseases is easy when you have this information. Robots play a crucial role in aiding humans with data analysis and making plans. Therefore, various agritech companies are trying to reach out to farmers to make this procedure feasible and accessible. In this article, we'll examine how big data is likely to continue to affect agriculture into 2022.

Big data may significantly improve healthcare, education, IT, etc. It's essential in the agricultural sector too. In the wake of the Big Data revolution in all areas, experts are interested in getting educated about the most recent tools through the online Big Data Course. Most farmers follow conservation methods to help preserve and enhance the health of their soil. However, measuring instruments can ensure sustainability in agriculture within a short time. Much valuable data are gathered through autonomous vehicles, including forecasting weather stations, satellites that image, and drones to map the landscape. This information aids farmers in irrigating their fields or choosing which crops to plant and how to anticipate insects, weather, and drought-related issues. Furthermore, the large amount of data requires fewer personnel, which can be beneficial.

Data collection tools assist in maintaining yields and providing for the demands of a growing population. This is done by ensuring the protection of the resources of nature. The primary purpose of gathering data is to analyze the data available and create an action plan that can be implemented. This can lead to significant changes on the part of the researcher.

Nowadays, Big Data Analytics professionals play a crucial role in Agriculture. They can predict and suggest Farmers based on past profitable information regarding seasonal variations. The crops must be planted according to seasonal variations or other changes. It also indicates how agriculture has moved towards the most advanced technology.