Big Data Analytics in Agriculture
This paper discusses agricultural difficulties as well as the strategies utilized to apply the offered remedies, and presents feasible solutions and minor improvements to the publications previously reviewed.
Abstract
This paper discusses agricultural difficulties as well as the strategies utilized to apply the offered remedies. Re- search and incremental growth with the use of data analytics are the only ways forward for any industry nowadays.By Using data analytics in agricultural sector we can analyze the historical data and take out the useful information which helps enhance agricultural patterns and save resources.Big Data will result in severe modifications mostly in roles and power relationships among various parties in today’s industrial food supply chain networks. Using Big data techniques the farmers have increased revenue and decreased the wastage and chances of loss. Today, this can be seen in a variety of agricultural fields. In this work, we present feasible solutions and minor improvements to the publications previously reviewed. Today’s agricultural industry is flourishing, and after the green revolution, it’s past time to make the necessary modifications and delve further into the subject’s nuances. Index Terms— IoT, Big Data analytics, Agriculture, Smart Farming, Precision Agriculture.