Build Better Forecasts and Make More Informed Decisions with Tassel Count
For generations, the most reliable tool for predicting corn yield has been a solid pair of work boots, worn by growers, to walk their fields collecting ear samples. While nothing can replace a good pair of boots, new technology from Sentera can improve the way the work gets done.
With FieldAgent®’s tassel count analytics from Sentera, yield estimates are much more accurate and reliable than manual sampling, delivering tassel count density throughout an entire field so users can more easily forecast and refine their crop yields prior to harvest and make other critical management decisions.
How it Works
FieldAgent’s tassel count analytics tool counts the plants that have developed a tassel and have the potential of producing full ears. The user also receives an accurate zone map through the analytics – showing the average number of standing plants depicted with a red, yellow, or green indicator, directing the user to specific locations to collect ear samples, streamlining time and processes for the grower and their agronomist.
In order to estimate yield, agricultural professionals traditionally take tassel and kernel counts at a handful of sporadic locations in the field. Sentera’s tassel zone maps improve this estimate by directing agricultural professionals to take these counts at targeted locations representative of the variation present in the field. For example, the user may take three samples in a “good” zone, three samples in a “medium” zone, and three samples in a “bad” zone to get the most comprehensive estimate of potential yield.
Mapping Out Success
Tassel count zone maps are another layer the agricultural professional can utilize and leverage alongside as-planted data, FieldAgent stand count layers, nitrogen application data, soil type, and Sentera NDVI-based crop health maps when evaluating crop performance across a field for in-season management decisions and long-term planning.
Once the field is harvested and the yield data is added to the layers of data, a grower can truly understand how an area in their field performed, how many plants emerged based on seeding rate and how their plants matured and absorbed available nutrients and ultimately, how many bushels those plants produced.
Having this comprehensive and accurate view of tassel count can help agricultural professionals make more informed economic decisions.