Importance

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Abstract

Computer configurations, search processors (2), software, and methods of viewing and analyzing information regarding agriculture or land use automatically located relationally-linked agronomic entities with both real (18) and virtual (8) displays. Relational linking exist through broad assessment of commonality information with fuzzy logic heuristics. Dynamic link presentation (6) can exist with congregated and hierarchical information displays (29) such as at the farm level, at a location level, at a physically aggregated parcel level with hierarchical display of farms or agronomic entity ownership, management, organization, and crop usages that afford users an unprecedented series of views into the businesses of land use, food production, and resource conservation. A meta-syntactic agronomic information generator (31) can facilitate imputed information through the integration of multiple databases (32). Predictive and application-specific configurations can allow at-a-glance understanding of agronomic organizations and agronomic decision-making to see where to most optimally devote resources for higher success or efficiency.

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First Claim