Articles

From Data to Dollars: LandScan’s Root Cause Analytics Delivers $390 per Acre

“LandScan’s Root Cause Analytics integrated with our variable‑rate application systems have significantly improved the precision of our input management. By quantifying soil and environmental variability across space and time, we’ve reduced input costs, improved agronomist efficiency, and realized measurable production gains. These combined benefits have yielded an average value of $390 per acre.” Zac Ellis

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Using an Agriculture Digital Twin for GEM-Informed Management

Executive Summary Today, many otherwise progressive growers and managers of high value crops find themselves with uneven yields and more expensive inputs and are asking what they can do to improve uniformity, reduce risk and take their operations to the next level of profitability and sustainability. Historically, agricultural improvement has focused heavily on genetics and

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Soil Sampling and Laboratory Analysis Limit the Optimization Potential of Crop Production and Soil Property Quantification, Baselining, and Monitoring

Soil data needs to be obtained rapidly, digitally, and objectively so that it can be repeatable and transferable. Without this, soil data is not scalable or appropriate for modeling, advanced analytics, and enabling modern engineering solutions. The problem with soil sampling and lab analysis is that they don’t produce the proper or accurate reference to

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