![\"observational](\"https:\/\/info.premiercrop.com\/hs-fs\/hubfs\/premiercropblog_danfrieberg.png?width=447&name=premiercropblog_danfrieberg.png\")
<\/p>\nThroughout Premier Crop’s nearly 20 year history, we’ve perhaps been the most diligent at communicating that what we do \u2013 big data analysis \u2013 would be considered “observational data analysis” by those in the scientific community.<\/p>\n
Early on, my slide deck featured this chart \u2013 a photo on the left form my earlier years versus today \u2013 to explain that observational data analysis can show us relationships and correlations. But, it stops short of proving cause and effect.<\/p>\n
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Within crop production and agronomy scientific circles, making decisions using observational data analysis has been viewed as inferior and some would argue it’s an informed guess. It’s only been in the last few years, with the dramatic investment by major ag companies, that millions of yield observations have been validated as valuable in crop production decision-making.<\/p>\n
For decades, the foundations of agronomic knowledge have been the results of small randomized replicated plots. That experimental design and the statistical design and the statistical analysis dates back to 1930’s, with Sir Ronald Fisher’s analysis of variance (ANOVA), whom many consider the father of modern statistics. All universities and industry companies have adopted and use replicated plots as the gold standard for conducting trials and proving that a change in treatment actually causes a change in yield.<\/p>\n
Premier Crop has now added randomization and replication to our Learning Block concept with an offering we are calling Enhanced Learning Blocks. It allows us to move beyond correlation and experimentally establish causation.<\/p>\n
![\"on](\"https:\/\/info.premiercrop.com\/hs-fs\/hubfs\/ELB-2.png?width=1269&name=ELB-2.png\")
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We are now able to scientifically prove the value of using variable rate technology in a grower’s operation. And the results are dramatic. In several examples, customers with 5 replications of 4 different planting rates we are able to prove that the ideal seeding rate varied over 9,000 seeds per acre, with resulting yield results greater than 40 bushels per acre. That’s a swing of over $30\/acre in seed cost and $140\/acre in revenue.<\/p>\n
The beauty of these experiments is that the technology you’ve already purchased in the cab does all the work \u2013 there is no extra work needed for this experiment. You plant, apply and harvest the experiment with the same technology used on your farm. We refer to Enhanced Learning Blocks as “knowledge creation at the speed of farming”!<\/p>\n","protected":false},"excerpt":{"rendered":"
Throughout Premier Crop’s nearly 20 year history, we’ve perhaps been the most diligent at communicating that what we do \u2013 big data analysis \u2013 would be considered “observational data analysis” by those in the scientific community. Early on, my slide deck featured this chart \u2013 a photo on the left form my earlier years versus […]<\/p>\n","protected":false},"author":6,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"content-type":"","inline_featured_image":false,"footnotes":""},"categories":[20],"tags":[45],"acf":[],"yoast_head":"\n