Breaking Down Big Data

Breaking Down Big Data

Recent advancements in precision agriculture  and data analytics have paved the way for the next important step forward in agriculture: incorporating big data on the farm. While the idea of using big data for agriculture may sound complex, it boils down to analyzing all the data generated on the farm to reveal insightful patterns and trends. Data comes from a wide variety of sources. Planters, combines, sprayers, soil tests, remote rainfall monitors and more are just some of the primary tools farmers use to record and analyze the efficiency of their operations.

Farmers feed this information into analytical software to develop highly detailed, valuable production plans capable of:

  • Increasing yield
  • Maximizing resources
  • Improving sustainability

Having access to such data enables farmers to easily identify problems and take steps to correct the issues. The prescriptive recommendations received from the farm-management software can even be used to decide which varieties to plant, proper seeding rates and how much fertilizer to use. And the recommendations align with specific soil types and the productivity index of each section of land.

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