FAQ

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Tillr is an Agronomic Intelligence platform that helps growers, agronomists, landowners, and agricultural partners understand what is happening across agricultural land and make better-informed decisions. Tillr brings field data, monitoring, analysis, historical information, and actionable insights together in one platform.

Agronomic Intelligence is the process of turning agricultural observations and data into useful, decision-ready information. Tillr combines information from the soil, surface, canopy, atmosphere, field observations, historical records, and other available data sources to provide a more complete understanding of a property.

Tillr is designed for growers, farmers, ranchers, agronomists, PCAs, landowners, agricultural operators, and other professionals responsible for understanding, managing, or evaluating agricultural land.

Agricultural information is often fragmented across field notes, lab reports, sensors, spreadsheets, service providers, software platforms, and individual experience. Tillr brings that information together to create a persistent, understandable record of the land and help users turn data into decisions.

GroundTruth™ is Tillr's foundation for understanding agricultural land. It combines observations, measurements, field data, historical information, and agronomic analysis to establish a trusted picture of what is happening on a property.

Good agricultural decisions depend on understanding actual field conditions. Tillr begins with GroundTruth™, capturing and organizing what can be observed and measured before turning those signals into insights and recommendations.

Depending on the property and services being used, Tillr can work with information related to soil, plant canopy, surface conditions, atmospheric conditions, field observations, spectral measurements, sensors, laboratory data, historical records, and other agricultural data sources.

Tillr can incorporate multiple collection methods, including field scanning, sampling, scouting, sensors, spectral analysis, drone surveys, laboratory results, and integrations with other available data sources. The exact collection process depends on the crop, property, objectives, and services selected.

The Tillr Scanner is part of Tillr's field-data collection system. It can be used to capture field-level signals that contribute to GroundTruth™ analysis and subsequent insights.

Yes. Tillr is designed to incorporate ongoing monitoring and connected data sources where available, allowing new information to contribute to the property's current agronomic picture.

Tillr organizes and analyzes available information, identifies meaningful signals, and converts those signals into insights that can help inform field decisions. The core methodology is GroundTruth™ to Signal to Insight to Value.

Insights are decision-ready interpretations of agricultural data. Instead of simply presenting another set of measurements, Tillr is designed to explain what the available information means, what deserves attention, and where additional investigation or action may be appropriate.

Yes. Tillr uses AI-driven methodologies alongside agronomic science, field data, historical information, and other analytical tools. AI helps process information and identify useful patterns; it does not replace underlying field observations, agronomic expertise, or source data.

No. Tillr is designed to make agricultural professionals more informed and effective by giving them better access to organized data, historical context, and analysis. Tillr can complement the expertise of growers, agronomists, PCAs, consultants, and other agricultural professionals.

Many agricultural platforms focus primarily on operational records, monitoring, or individual data sources. Tillr is designed around multi-signal Agronomic Intelligence, combining GroundTruth™, historical land memory, grower-owned data, agronomic science, ongoing monitoring, and decision-ready insights within a single system.

Yes. Historical memory is an important part of the Tillr model. As information accumulates, observations can become part of the property's ongoing agricultural record rather than disappearing at the end of a season.

A single observation tells you what happened at one point in time. A persistent history can reveal patterns across seasons, helping users compare conditions, understand changes, evaluate previous decisions, and make future analysis more informed.

That is the objective of Tillr's compounding intelligence model. As additional observations and historical information become available, Tillr can use the larger body of information to provide greater context for future analysis and recommendations.

Tillr is built around the principle that growers and property stakeholders should retain ownership and control of their agricultural data. The platform is designed to preserve the property's accumulated agricultural intelligence while giving authorized users controlled access to it.

Yes. Tillr is designed to create a persistent agricultural history at the property level. This allows accumulated information to remain useful across seasons and, where the owner chooses, potentially support future property management, evaluation, financing, leasing, or ownership transitions.

Yes. Tillr is designed to organize agricultural information across geographic and operational levels such as region, farm or ranch, and block or field. This allows users to understand individual blocks while maintaining a broader view of their agricultural operation.

GroundScore™ is Tillr's standardized measure designed to summarize agricultural property intelligence into an understandable percentage-based score. It is derived from Tillr's underlying TruthIndex™ and available biological, environmental, agronomic, historical, and other relevant indicators.

TruthIndex™ is Tillr's underlying cumulative scoring methodology. It is designed to evaluate a broader collection of available property information on a 0-1000 scale, which can then contribute to the property's GroundScore™.

No. GroundScore™ is intended to represent a broader view of agricultural land. Depending on the available data, its methodology can consider multiple biological, environmental, agronomic, historical, and property-level signals rather than relying on a single soil test or measurement.

Agricultural land has characteristics that traditional property records do not fully capture. GroundScore™ is intended to make the agricultural condition and accumulated intelligence of a property easier to understand, preserve, compare, and communicate over time.

No. GroundScore™ is an agricultural intelligence measure, not a real-estate appraisal. It may provide useful additional context about agricultural land, but valuation, lending, insurance, and transaction decisions may require independent professional assessments and other information.

Yes. One goal of Tillr is to prevent valuable agricultural history from being lost when ownership changes. Where authorized by the owner, Tillr can help organize and preserve relevant property intelligence so it can remain useful during a sale or transition.

Tillr can surface observations, insights, and recommendations based on available information. Agricultural decisions should still account for local conditions, professional judgment, crop requirements, weather, regulations, and other factors specific to the operation.

Tillr is being designed as a flexible agricultural intelligence platform capable of supporting multiple crops and production environments. Available analyses, recommendations, and data sources may vary depending on crop type, geography, available integrations, and field conditions.

Not necessarily. Tillr can organize and analyze information from multiple sources. Certain advanced field services or monitoring capabilities may use Tillr scanners, sensors, or other specialized equipment, while other platform functions can operate with existing or imported data.

In many cases, yes. Tillr is designed to bring multiple sources of agricultural information together. Existing historical records, laboratory results, field observations, sensor information, and compatible third-party data may be incorporated when supported.

Tillr is designed around an integration-friendly approach so information from multiple agricultural technologies and data sources can contribute to a more complete view of the property. Specific integrations depend on the systems and data formats involved.

No. Tillr can complement existing tools. The objective is to create a trusted intelligence layer that brings important agricultural information together, rather than requiring every existing system or workflow to be replaced.

It depends on the crop, season, management objectives, and type of analysis. Some users may need periodic field assessments, while others may benefit from recurring scans, sampling, sensor monitoring, or analysis throughout the growing season.

That is one of the benefits of combining recurring observations with historical context. Earlier detection of meaningful changes can give growers and advisors more time to investigate conditions and determine an appropriate response.

No. Tillr can also help establish baselines, document healthy conditions, monitor progress, validate decisions, compare seasons, and preserve a record of what is working.

Yes. Rather than treating each measurement as an isolated data point, Tillr is designed to connect signals across the property and over time to build a more complete picture of agricultural conditions.

Yes. Tillr can present agricultural information through dashboards, field diagnostics, insights, and other reports designed to make complex agricultural information easier to understand and act upon.

Tillr is designed to make intelligence available where agricultural decisions happen, including field-oriented workflows and mobile-accessible experiences where supported.

Tillr offers a platform model that can include software subscriptions alongside additional agricultural services, intelligence upgrades, field services, hardware, and related products. Available options may vary based on the operation and services required.

Depending on availability and location, services can include scanning, sampling, scouting, analysis, monitoring, drone-related data collection, GroundScore™ updates, expanded intelligence, and other agricultural services.

Tillr's initial focus is California agriculture, including California's Central Valley, with plans to support additional agricultural regions as the platform and service network expand.

No. The underlying concept can provide value to operations of different sizes. The appropriate level of monitoring, services, and analysis depends on the property, crop, acreage, management needs, and objectives of the user.

Tillr's goal is to establish a trusted intelligence standard for agricultural land, one that helps people understand what the land holds, what it yields, and what it's worth, while preserving that intelligence season after season.

Start by identifying the property, farm, ranch, or block you want to understand and what questions you want Tillr to help answer. From there, Tillr can determine what existing information is available, what additional GroundTruth™ may be useful, and which platform or field services are appropriate for the property.