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Revolutionizing agriculture through information and technology

FROM PRECISION AG TO CROP INTELLIGENCE

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The number of agronomic and economic data categories supported by the E4 Crop Intelligence platform on a field-by-field basis is enormous.
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U.S. agriculture has entered the “big data” age. The rapid evolution of technologies (sensors, GPS) enables growers to collect enormous volumes of data. But the challenge for most growers, retailers and farm managers is what to do with gigabytes of data stored in different formats in different databases. How do you transform it into actionable information?

The E4 Crop Intelligence software platform integrates services, software and data into a single source system.

The first step is to establish the proper field structure. The E4 Gateway module does the heavy lifting of the setup phase. It simplifies establishment of digital field boundaries and captures other management and system compatibility information.

Data > Information > Intelligence

The E4 data structure is based on the digital coordinates of individual fields. The simple reason is farmers make their decisions that way, so all raw data—soil sample results, fertility history, yield history, chemical applications, hybrid/variety numbers—are aligned. Getting that raw data right is key to a useful, dependable system. E4 understands that since it’s what we have done for over a decade.

The E4 system can also import data and information from other sources—soil type maps, Google maps (to help vendors locate fields) and weather (to grab growing degree days to schedule harvest.)

As the volume of data builds, growers (and their consultants and vendors who have system access) start to recognize the underlying reasons for variations in crop performance. The E4 system makes it easier to recognize patterns that can then be used to guide management decisions. We call this ability to recognize the underlying issues and anticipate ways to capitalize on those insights "crop intelligence."

INTELLIGENCE
Yield drivers, what actions make sense, what issues can we anticipate and avoid, etc.

INFORMATION
Yield patterns, fertility patterns, pests, etc.

DATA
Soil type, fertility, crop history, yield, seed placement, etc.