AI for growers and agronomists

Ask your farm data a better question.

Stop searching through reports and spreadsheets. Ask SoilBeat questions about your crops, soil, nutrient levels and management history. Get answers grounded in your own farm data, so you can understand what’s happening and make better decisions.

Connect every report. Compare across your client farms.

Investigate connected field history, nutrient trends and previous recommendations across farms you are authorized to access.

Start free Explore example questions

Integrated AI is built into SoilBeat. Pulse is the integrated assistant.

Ask your farm data

What can I ask my farm data?

Ask about lab results, nutrient trends, earlier recommendations, recorded applications or differences between fields and farms you are authorized to access. Choose an original example below to see the question and the evidence to review, then try it with your own records in SoilBeat; this page does not load live farm data.

Try it with your own data

What did I recommend last year on this field?

Keep the evidence attached.

Review the field, crop, dates and previous recommendation alongside recorded applications and follow-up observations.

Ask in SoilBeat

Example question · Your answer depends on the records and context available.

SoilBeat AI showing connected farm results for an agronomist

AI for agronomists

Prepare for the client, with the field history ready.

Use SoilBeat AI to review connected client records, compare authorized farms, investigate nutrient trends and revisit earlier recommendations before your next conversation. Lab results, crops, dates, observations and recorded activities stay together, helping you check what changed and where more evidence or agronomic judgment is needed before preparing advice.

Client preparation: what changed since the last visit?
Portfolio comparison: “Which of my farms have a K:Mg imbalance right now?”
Nutrient trends: “Show me how Field 3’s soil balance changed since my spring recommendation.”
Recommendation history: “What did I recommend last year on this field?”

Explore agronomist workflows →

AI for growers

Your data talks back, in language you understand.

Ask SoilBeat AI to explain supported soil, sap and tissue results in plain language, compare earlier measurements and prepare questions for your advisor. Keep the sample dates, crop stage, field observations and applications in view, so you can discuss the evidence behind a recommendation and follow what happens after the work.

Understand the report: ask which values need attention.
Compare seasons: “Did last year’s compost improve organic matter?”
Come prepared: ask what to discuss with your advisor.
Keep the context: compare results with the field’s recorded history.

Explore grower workflows →

Try asking AI

Context matters

What data does it use?

SoilBeat AI uses the structured farm evidence available in your workspace, including lab results, fields, crops, management zones, observations, activities and product or recommendation history. Connecting records by field, crop and date gives your question context; review which records and measurements are relevant before using the interpretation to prepare advice.

Lab reports and measurements
Fields, crops and management zones
Field observations and activities
Product and recommendation history

SoilBeat visual connecting AI chat to laboratory results, fields, crops, observations and activities — AI chat sits on top of the connected farm data and history.

Connected evidence. Reviewed advice.

How is this different from ChatGPT or Claude?

General AI tools can interpret documents and answer agronomic questions, but you still need to provide the right data and explain the context. SoilBeat connects lab results, observations, crop history and management activities, so its AI can investigate structured farm information without rebuilding the picture for every question.

SoilBeat AI

Connected to your structured farm data and advisory workflow.

Reports, zones, crops, dates and recorded activities stay connected.
Compare evidence across the farms and fields you are authorized to access.
Use agronomic targets, selected products, formulas and reusable templates.
Move from investigation to reviewed recommendations, activities and follow-up.
The agronomist checks the interpretation and approves the advice.

The evidence, agronomic methods and resulting fieldwork stay in the same record.

General AI tools

Useful for interpreting documents, reasoning and drafting.

Provide the files, context and instructions needed for the question.
Use available projects, connected tools and files to organize the work.
Explain field, crop, sampling methods and previous applications.
Connect the output to your own recommendation and fieldwork process.
Review the interpretation and proposed actions before using them.

Your chosen tools and setup determine how data, advice and execution are connected.

Can it create a fertilizer plan?

Yes, SoilBeat Integrated AI can help draft multizone fertilizer plans and customized recommendations using connected evidence, selected products, formulas and templates. The agronomist checks the calculations, products and rates before sharing; available modules and configuration depend on the workflow, so confirm the scope needed for your crops and operation.

Explore recommendations →

Who checks the advice?

The agronomist reviews and approves AI-drafted advice before it is shared with the grower, checking the interpretation, calculations, products, rates and field-specific instructions. AI supports investigation and preparation; professional judgment determines what is suitable to approve, and the final recommendation stays connected to the evidence, activities and follow-up.

Explore agronomist review →

Questions about SoilBeat AI

What else should I know about the AI?

Does the AI see data from other farms?

SoilBeat AI works with farm records available to your account and permitted sharing, so an advisor may investigate several authorized client farms. Farm ownership and accepted sharing determine access; using AI does not give you access to unrelated customers’ records, and the information supplied to an AI provider depends on the feature. Read about data access and processing.

What reaches an AI provider?

SoilBeat uses Anthropic and Google services for AI-assisted features; depending on the feature, information sent can include prompts, selected farm and crop context, laboratory reports, uploaded documents, conversation history, recordings or transcripts. A separate consent step applies to third-party AI features, and processing, retention and training restrictions depend on the service, configuration and agreement. Read the third-party AI policy.

Can it read a photo of a leaf?

Yes. SoilBeat’s mobile FieldScout workflow supports photos and AI-assisted photo interpretation, so you can capture a leaf or crop observation with the field context attached. A photo can support investigation of visible symptoms, but it does not establish the cause on its own; review it alongside measurements, history and your agronomist’s judgment. Explore mobile observations.

How many questions are included per plan?

Standard monthly Integrated AI allowances are five questions for Freemium, 10 for Invited Farmer, 15 for Farmer Pro and 50 for Advisor; Organization uses an agreed pooled allowance. Trial access and extra credits have separate terms, and unused monthly allowance does not carry over, so check the current plan details for your workspace. Compare current AI allowances.

Which languages does it answer in?

The app is available in English, Dutch, German, Spanish and French. You can ask questions in the language you work in. Keep laboratory names, sample dates, crop names and units clear in your question, then review the meaning of the answer with your agronomist before using it to change a recommendation or field activity. Discuss your language and workflow.

Get started with SoilBeat AI

Bring your farm record into the conversation.

Start building the connected record for free, or book a call to discuss how SoilBeat AI fits your farm, advisory practice or team.

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