SoilBeat helps growers and agronomists optimize nutrient and input management by connecting crop measurements, field observations, activities and growing history into one agronomic picture.
Understand what is limiting performance, improve nutrient uptake, reduce unnecessary input costs and turn expert recommendations into clear actions.
For growers, agronomists and advisory organizations.
SoilBeat connects the agronomic picture behind every recommendation — so growers can make more confident input decisions, while agronomists can give better advice with less repetitive work.
SoilBeat helps you bring more of the agronomic context into every recommendation while reducing the repetitive work around it.
Connect measurements, observations, activities and growing history. Spend less time collecting reports, rebuilding context and preparing recommendations — and more time applying your expertise.
SoilBeat helps you understand the agronomic need behind your inputs, so you can spend more wisely, improve nutrient uptake and support stronger, more resilient crops.
Bring your crop measurements, observations, activities and growing history together. See the context behind recommendations, understand what needs attention and keep the resulting work connected with your agronomist.
Whether you're managing an orchard, greenhouse, vineyard, dairy and forage operation, nut crop or row-crop business, SoilBeat helps you make nutrient and input decisions in the context of your own growing system.
Different crops. Different growing systems. The same need: know what the crop needs and make every input decision count.
Generic AI can help you explore information or answer a question. But an agronomic recommendation depends on more than the information in a single conversation. It needs the right measurements, crop and field context, growing history, agronomic logic and what happened afterwards.
Useful for exploring information, asking questions and generating explanations. But the context depends on what you provide in that interaction.
SoilBeat keeps the evidence connected to the crop, field and growing history. Its agronomic interpretation can then work with that context to help prepare recommendations that remain connected to execution.
SoilBeat can help gather context, investigate patterns and prepare recommendations. The agronomist reviews, edits, approves and publishes the final advice.
See why SoilBeat is differentSoilBeat connects measurements, observations, farm history and field activity — helping growers and agronomists understand what is happening, make better recommendations and turn those recommendations into action.
Start freeBring laboratory results, field observations, management zones, documents and farm history into one structured farm data and history — instead of rebuilding the picture every time a decision needs to be made.
Compare measurements across time, crops and management zones. Bring trends, target values, observations and activities together so individual results become part of the bigger agronomic picture.
Start with the agronomic question, bring in the relevant evidence and use SoilBeat’s agronomic interpretation to prepare a practical recommendation — ready for expert review and action.
Combine structured farm context with agronomic knowledge, defined methodologies and AI assistance — so decisions are supported by more than a prompt alone.
Create activities from recommendations, organize products and applications, assign work and keep completed actions connected to the same farm data and history.
AI Chat helps you investigate, compare and connect information across your farm data and history — without rebuilding the farm context in every conversation.
Send Announcements to selected farms, ask and answer questions directly on FieldScout observations, lab reports, recommendations and activities, and use Notification Overview to filter communication and farm updates. The context stays with the exact record instead of disappearing in separate chats.
Capture observations, evidence and actions while you are there — without recreating the work at the desk later.
Pull up the right zone with its lab reports, observations and actions — no searching by name.
Speak your observation instead of typing on a small screen.
Take a photo, ask what to do, and log the observation to your timeline.
Add the field action in the same flow, without recreating it at the desk.
Photograph a printed lab report and turn it into data you can work with.
Photograph a product label and add it to your product inventory for future recommendations.
Connect your farm evidence, prepare and review recommendations, then keep field activities and follow-up in the same record. Reuse formulas and templates where they fit your advisory workflow.
Lab results, plant measurements, water data, observations, activities and growing history become part of a structured record.
Each cycle adds context instead of starting over.
Explore the SoilBeat workflow