iCropby AppsforAgri
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EN
AI IN ICROP

Your expertise.
Supported by AI.

Use AI Assist for spoken field notes today. Meet Taro, the next step in conversational working with iCrop, coming soon.

COMING SOON

Taro.
Your digital agronomy assistant.

Taro brings a conversational way of working to iCrop. It is being developed to help you find grower and field context, capture information and prepare the next action.

Your team reviews the proposed information and remains in control. Taro will be available soon; the AI Assist capture workflow below is already available.

CAPTURE, REVIEW, CONFIRM

Less reconstruction
after the visit.

  1. Speak naturally

    Record what you observed, what you recommended and which follow-up is needed.

  2. Review the proposed record

    Check the grower, field, crop, record type and details identified from the input.

  3. Confirm the information

    The professional remains responsible for the content added to the working record.

Mobile app · Fictional demo data
INSIDE THE WORKFLOW

From spoken expertise
to usable agronomy records.

Voice capture creates value when the resulting records remain connected to the agronomy process.

“Uneven crop development in North field. Discussed with the grower. Arrange another crop check next week.”

Illustrative spoken field note

Review before you confirm

  • Field: North field
  • Observation: uneven crop development
  • Follow-up: crop check next week

Check the recognised context and proposed records. Add the responsible person and confirm the details before saving.

QUESTIONS THAT MATTER

Clear answers.
Useful next steps.

How do Taro and AI Assist relate?

AI Assist is available for voice-based capture into proposed structured records. Taro is the upcoming conversational assistant in iCrop. Both keep professional review and control central.

Does AI processing work without connectivity?

iCrop supports offline field capture and synchronisation. That is separate from AI processing. Confirm connectivity and processing requirements for the AI Assist workflow being demonstrated; offline mobile access is not a promise of offline AI inference.

Does AI Assist make the agronomic decision?

The agronomist reviews the proposed information and remains responsible for what is recorded or recommended. AI Assist supports the capture process.

Which languages and options are included?

Discuss the required language, input types and AI options in your demonstration and proposal. Advanced multilingual requirements can be scoped as an extension.

YOUR NEXT STEP

Bring a representative field note to your demo.

See how the available AI Assist workflow handles your team’s typical capture and review process.

iCrop product view

Screens show fictional demo data.

Mobile app · Fictional demo data

Screens show fictional demo data.