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Advanced Agrilytics — Licensed predictive-agronomy spatial layers, sold as a product: field-level modelled layers for soil wetness, potential productivity, nitrogen loss potential, varietal/hybrid placement indices and environmental-fit models, plus in-house field-trial summaries and independent validation datasets, all exposed through the TerraSYNC REST/GraphQL API against the Agrilytics IQ platform. Distinguished by being built from the firm's own agronomist-led in-field scouting and replicated on-farm trials rather than remote sensing alone.. Mid-size specialist — roughly 130 employees in …
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Licensed predictive-agronomy spatial layers, sold as a product: field-level modelled layers for soil wetness, potential productivity, nitrogen loss potential, varietal/hybrid placement indices and environmental-fit models, plus in-house field-trial summaries and independent validation datasets, all exposed through the TerraSYNC REST/GraphQL API against the Agrilytics IQ platform. Distinguished by being built from the firm's own agronomist-led in-field scouting and replicated on-farm trials rather than remote sensing alone.
Scale est. 10^6-10^7 field-level observationsFrom 10 yearsCoverage Consumer Staples · Information Technology
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Advanced Agrilytics — Licensed predictive-agronomy spatial layers, sold as a product: field-level modelled layers for soil wetness, potential productivity, nitrogen loss potential, varietal/hybrid placement indices and environmental-fit models, plus in-house field-trial summaries and independent validation datasets, all exposed through the TerraSYNC REST/GraphQL API against the Agrilytics IQ platform. Distinguished by being built from the firm's own agronomist-led in-field scouting and replicated on-farm trials rather than remote sensing alone.. Mid-size specialist — roughly 130 employees in …
Advanced Agrilytics offers (Alternative, Geospatial, Fundamental, ESG) — est. 10^6-10^7 field-level observations — multiple modelled layers per managed field across the acres its agronomy services touch, refreshed continuously; plus a trial library of replicated on-farm plots. Volume is not the asset here — the labelled trial and validation datasets are, and those are small by count and expensive to reproduce..
Seed and input placement optimisation for seed companies and ag retailers; embedding predictive agronomy into retailer dashboards and product-selection tools; regional positioning of fertiliser and crop-protection SKUs; nitrogen-loss risk for environmental compliance, nutrient-management planning and watershed or credit programmes; training and validating crop-model and recommendation engines against independent trial ground truth; workability and field-access planning from soil-moisture modelling.
The data is with 10 years of history.
Coverage spans US; Agricultural Chemicals, Data Processing & Outsourced Services; alternative, geospatial, fundamental, ESG; equities.
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