For example, zones that stared with field knowledge and hand drawn features often grow and get smarter. Again, it’s better to start and build on the management zones as you learn.
Similarly, as more yield data is analyzed that information can be incorporated into fertility zones. Yield analysis is a great way to get trends over time. For example, a spatial yield trends map shows the average yield of management zones across multiple years. Using spatial trends for variable yield goals and nitrogen management is an excellent way to match inputs with productivity zones.
Crop health imagery is included with crop consulting service and adds the ability to make on the fly adjustments to management zones. That’s because crop health imagery is typically being captured on a weekly interval. Examples of how to use these would be variable rate growth regulators in cotton and NRage nitrogen topdress applications in wheat.
Elevation data comes from many sources. For example, soil texture mapping, topo surveys, and monitor data. The key is to make sure it’s high quality. Then incorporate the data into the zones by outlining hilltops, water holes and side hill slopes. Often times variable rate seeding and water management services make good use of elevation data with field zones.
To sum it up, it’s obvious that with management zones there are a lot of way to build them and a lot of precision ag uses for them. Choosing the right layers to reap the quickest return is critical. Building zones does take time, but it has the potential to pay dividends year after year.