DroneDash

AgriSense 2.0

Understand every tree. Plan the next action.

AgriSense 2.0 brings crop observations and recurring field records together to help plantation managers, agronomists and field teams understand which trees need attention, plan inspections and approved treatment, and compare what changes across visits.

Discuss an AgriSense pilot Technology overview
Colour-coded DroneDash tree analysis showing individual plantation trees
Tree-analysis visualThis analysis imagery can support tree-level review. It is not a screenshot of the AgriSense interface.

Practical decisions

A clearer view of what needs attention.

AgriSense is being shaped around the questions field teams need to answer before, during and after a plantation visit.

01

Assess crop condition

Review available imagery, multispectral analysis, sensor readings and field observations to identify trees or areas needing closer inspection.

02

Build a continuing tree history

Connect observations across visits to review individual tree condition and recorded activity over time.

03

Plan inspection and treatment

Prioritise follow-up, review the available evidence and prepare approved field actions.

04

Compare the next visit

Review later observations alongside previous records to assess changes and guide further attention.

Human-reviewed workflow

Evidence supports the decision. People approve the work.

  1. 01

    Collect observations

    Field imagery, available sensor readings and observations are gathered by people and separate capture systems.

  2. 02

    Analyse

    Available information is organised for review; analysis supports attention, not an automatic diagnosis.

  3. 03

    Review and approve action

    An agronomist reviews the findings and approves the inspection or treatment plan.

  4. 04

    Record treatment

    The field team carries out the approved work and records the activity. Dosage is approved before the job and is not changed autonomously in flight.

  5. 05

    Compare the next visit

    Later observations can be reviewed beside prior records to decide what needs further attention.

Operating control The agronomist approves the treatment plan. Dosage is approved before the job and is not autonomously changed in flight.

Plantation operations

Connect field intelligence with field work.

AgriSense provides the product direction for reviewing observations and recurring records. Plantation inspection, spraying and follow-up remain work carried out by agronomists, operators and field teams using separate approved operating systems and plans.

Where an integration has not been verified, the connection is a planned workflow rather than an automatic data exchange.

Industry use caseAgricultureInspection, approved treatment and follow-up in plantation operations.Field deliveryServicesSpraying, assessment, sensing deployment and decision support.Treatment methodNo-Mapping P2PPrepared treatment points, reviewed plan and job-fixed dosage.
Development direction

Capabilities requiring implementation and field validation.

These capabilities express the intended AgriSense direction. The current website repository does not contain product implementation or deployment evidence for them.

  • Persistent identity that links the same tree across recurring visits
  • Connections to soil, weather and other field-sensor readings
  • Treatment-record integration with inspection and follow-up context
  • Predictive alerts and yield-planning support after crop-specific validation

LIBS Sensing remains a separate concept. It is not presented as a current operational AgriSense data source.