Agriculture has come a long way from ancient times through the industrial revolution to the current digital era. In 2017, modern agricultural organizations have access to increasingly large amounts of data collected by sensors from soil quality measurements, weather sensors, GPS guided machinery, and more. According to a USDA’s recent survey, more than 60 percent of corn and soybean crops are monitored by data collection devices (source). However, there is still a substantial gap between the potential of utilizing this data and what happens in reality. Despite having the data, many companies lack the capability to effectively process, analyze, and efficiently build informative models in order to make data-driven decisions.
That’s where guidance from data service providers, such as Virtustream, can help. Virtustream provides data management expertise, tools and data science consulting to enable customers across different industries to get value from their data resources.
Our data science team in Dell IT recently initiated a Data-Science-as-a-Service Proof of Concept (PoC) as part of a Virtustream service engagement with a large company that plants thousands of farms across USA. Virtustream had enabled the company to become more data-driven by harnessing its large amounts of data, as well as developing and implementing different applications that enable scalable, faster, and more accurate operations – operations that couldn’t be executed with existing tools. Our PoC sought to demonstrate the speed and efficiency of those analytics applications.