The SIS (Soil Information System) produces highly accurate soil and topographic information. SIS outputs are three-dimensional interactive data models of cropland with over 65 different discrete data elements available, including root zone depth, moisture retention and availability, and soil richness.
Analogous to an MRI, the solution provides valuable information for all stages of farming from pre purchase land evaluation to improving crop yields and quality to informing sustainable practices.
See actual examples of some of the savings realized by users of SIS data here.
The SIS makes it possible to obtain a complete picture of the land you are considering before purchase or development. With an SIS analysis you will be able to predict a field’s potential for growing capacity and identify challenges that will come up in the course of layout and planting. SIS helps growers avoid the pitfalls associated with sub-optimal soil properties that can permanently limit crop quality and yield.
The single greatest opportunity a grower has to influence the long-term output of a field, vineyard, or orchard comes with the design and planting of a new field. Utilizing the SIS ensures that growers are able to design and prepare fields that are optimized for the long-term. SIS makes it possible to know precisely where to add deep-root amendments, select and plant rootstock based on known moisture holding characteristics, and minimize in-block variability.
The SIS gives growers the tools they need to optimize growing conditions and improve overall crop output and quality. Plant materials within a field may be uniform, but the soils in which those crops grow are not. With SIS growers can assess the variability within a field and treat different zones according to their unique needs, thereby raising output and quality to the highest grade achievable throughout the field.
Despite best efforts, sub-par field areas can vex even the most committed grower. Combining SIS soil mapping with PurePixel Vegetation mapping powers agricultural forensics in a way that has never before been possible. This involves the quantitative and spatially relevant analysis of crop and site metrics. This complex analysis can reveal the exact factors that are limiting output to ultimately enable practical and cost effective solutions that are site specific.
Growers can immediately improve their bottom line by employing more efficient watering, fertilizer, and amendment application strategies. The difficulty comes with knowing where and to what degree you can reduce inputs without compromising crop quality The SIS makes it possible to target applications – making sure expensive inputs are used efficiently. Growers using SIS data no longer need to manage to the lowest common denominator, instead they can take advantage of naturally occurring availabiltity while concentrating on helping low-productivity areas achieve higher yield and quality.
The SIS helps growers interested in transitioning to more sustainable methods with implementing changes that do not sacrifice crop quality. Intelligent modeling provides the tools you need to address key concerns of sustainability: conserving natural resources (water, top soil and naturally occurring soil biota); reducing chemical inputs; and restoring native fertility.
Industries that have traditionally relied on interpolating data from soil samples and pits now have a powerful new way of gathering data. From engineers concerned about levee vulnerability to those interested in enhancing soil carbon sequestration, the SIS can provide fast, efficient, accurate collection of critical data.