The Importance of Aggregating Yield Data in Farming

Decision support systems are fast becoming the standard in making operational choices. In fact, it has now become a major game-changer, particularly for modern farmers. Data-based insights are beneficial because they can influence decision-making.

 

 

 

Aggregating Large Datasets

 

Farmers are known to use many different practices, experience diverse weather patterns, and plant different varieties over the course of one year. But all these can change year after year.

 

 

Thus, you can resolve this by aggregating and analyzing data from several operations across the many variables. You will be amazed that you are able to identify how these factors in aggregating yield data can affect the production of crops.

 

 

 

Large Datasets Provide More Confidence

 

Large datasets are more advantageous compared to smaller ones because they can wash out the errors and noise that might lead to unreliable patterns. Take for instance the small dataset from your farm, which can be hard to know the yield because you might be observing random variation as opposed to a true pattern.

 

 

So when you are able to determine that a variety has performed well across variable growth conditions you will have greater confidence in its performance. Looking at some local data from related farms can only get you in trouble when certain conditions change.

 

 

 

Reveals Performance Potential

 

The use of large datasets by aggregating yield data can actually reveal performance potential particularly when the variety of yield stabilizes over time. With more data gathered, it can provide more reliable datasets in aggregate all across the network.

 

 

 

The Average Are Not Affected With Improper Calibration

 

Improper calibration can occur with small datasets, which has a huge impact on the results. However, with the larger dataset, calibrations can be more accurate even when yields are recorded either too low or too high as long as they are occurring randomly. Thus, having enough data will not affect the average significantly.

 

 

As a result, bias will be eliminated on the basis of aggregated data taken from larger datasets. Farmers are able to make decisions more confidently from the insights of unbiased and independent data.

 

 

Calibrating yield monitors is also important to achieve accurate benchmarking. At the same time, it can provide better insights into the operation.

 

 

 

Uses of Big Data in Agriculture 

 

Aggregating yield data is also beneficial to farmers with its many uses, which include the following: 

 

Prediction of the yield – With the use of mathematical models, you can analyze data around chemicals, leaf, weather, and yield, among others.

Risk management – Farmers are now able to leverage big data to evaluate the chances for crop failure and even increase the efficiency of feeds in the production of livestock.

Food safety and prevention of spoilage – Collecting data such as chemicals, humidity, and temperature will provide smart agricultural businesses. This level of insight should be very useful to organic farmers in the U.S.

Management of equipment and operation – Farmers are also given the opportunity to log into special portals so they can manage their maintenance equipment for reducing downtime while keeping everything work more efficiently.

 

 

 

​Precision Agronomics is located at 9438 West SR 28 in West Lebanon, IN and is proud to serve: Marshfield, Johnsonville, Foster, Stone Bluff, Bismarck, and the surrounding areas. Contact us today for more information!

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