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Aakash DrishtiCROP MONITORING INTELLIGENCE

SATELLITE INSIGHT. GROUNDED DECISIONS.

See the land.
Understand
the change.

A clearer picture of agriculture.
A more informed next step.

Bring satellite observations, crop records and field review into one connected workspace. Built for the people making decisions across agricultural landscapes.

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BYAny Tech Ventures
Sentinel-2 natural-colour satellite observation showing agricultural fields, settlements and cloud cover in the Vaishali sample landscape.
THE BIG PICTURE.
Every observation has a story.
Sentinel-2 · 28 Sep 2026 · Vaishali sample, India
FROM LANDSCAPE TO WORKSPACE →
Aakash Drishti demonstration dashboard with a district crop map and source-linked historical agricultural evidence.
Actual product preview Historical Bihar example
ONE PRODUCT. YOUR AGRICULTURAL CONTEXT.

Government agriculture departments

Public agencies

Agri-enterprises

FROM SCATTERED DATA TO A SHARED PICTURE

Less searching.
More understanding.

The view from above matters.
So does the context on the ground.

A satellite image, a district record and a field observation each tell part of the story. Aakash Drishti CMI brings them together so your team can explore an area, investigate a change and document what happens next.

See where to look

Move from regional context to a focused area of interest.

Understand what changed

Compare dated observations with their quality and sources in view.

Make the next step count

Connect evidence to field verification and an accountable review.

THE PRODUCT EXPERIENCE

A landscape of information.
One place to make sense of it.

Explore the regional picture.
Open an area case.
Follow the evidence.

AAKASH DRISHTI / CROP MONITORING INTELLIGENCEPRODUCT PREVIEW
Actual CMI interface: a Bihar district crop map alongside evidence summaries and historical records.
Your region. Your priorities. Your workspace. Discuss the coverage and data needed for your organisation.Shown: historical Bihar demonstration.
Sample coverage, not a live national feed.
01

Regional context

Explore agricultural records and map-based comparisons.

02

Area-level evidence

Inspect dated observations and the footprint they cover.

03

Documented review

Keep findings, verification needs and review history connected.

REAL OBSERVATIONS. VISIBLE CONTEXT.

Go beyond a coloured map.
Look at the evidence.

See the source imagery behind a change.
Know when it was observed.
Understand where it is usable.

01 / EARLIER OBSERVATION12 August 2026
Earlier Sentinel-2 natural-colour observation of the Vaishali sample landscape on 12 August 2026, including visible clouds.
Sentinel-2 L2A · Natural colour
02 / LATER OBSERVATION28 September 2026
Later Sentinel-2 natural-colour observation of the same sample landscape on 28 September 2026.
Sentinel-2 L2A · Natural colour

A real sample, with real limits. Vaishali, Bihar is one demonstration landscape. Clouds and usable-pixel coverage affect comparison. Greenness change alone does not establish crop identity, damage, disease or yield.

Contains modified Copernicus Sentinel data (2026), accessed through Element 84 Earth Search. Display images are public demonstration exports; detailed workspace data requires sign-in.

FROM IMAGERY TO EXPLANATION

Understand the signal.
And its boundaries.

The evidence workspace puts dated imagery, quality checks and calibrated vegetation observations side by side. Review the usable area before interpreting a change.

See the evidence workflow
Actual evidence workspace comparing calibrated NDVI in the dated Vaishali sample. Quality exclusions and common usable-pixel coverage are shown beside the maps.
Actual product preview · Dated Vaishali sample · Not a crop-health diagnosis
Acquisition datesQuality & coverageSource traceabilityHuman verification

A WORKFLOW THAT FOLLOWS THE QUESTION

From a wider view
to an informed response.

  1. 01

    Explore

    Start with the regional picture and available records.

  2. 02

    Focus

    Select an area and open its evidence-led case.

  3. 03

    Investigate

    Compare observations and inspect their limitations.

  4. 04

    Verify & review

    Bring field context into a documented next step.

BUILT AROUND YOUR MANDATE

Different teams.
A shared need for clarity.

Start with a defined geography, a clear question and the evidence needed to answer it.

PUBLIC SECTOR

Agriculture
departments

Bring regional records, area investigations and district review into a common working picture.

Discuss your programme
PROGRAMMES & PLANNING

Public agencies
& institutions

Scope a monitoring programme around your mandate, with transparent data coverage and verification requirements.

Discuss your programme
AGRICULTURAL OPERATIONS

Agri-enterprises
& delivery teams

Explore how dated landscape observations can support field prioritisation and operational review.

Explore your use case
BUILT TO DEVELOP WITH YOUR DATA

Crop identification, damage assessment and yield intelligence are proposed model-led capabilities. Deployment requires suitable local data, ground truth and validation for the intended decision.

Any Tech Ventures

Spatial intelligence.
Practical implementation.

A PRODUCT BY ANY TECH VENTURES

Technology grounded
in your operational reality.

We bring together geospatial technology, data and application workflows. Begin with a focused demonstration, agree the evidence and validation requirements, and shape a deployment around your team.

Meet Any Tech Ventures

SEE WHAT’S POSSIBLE FOR YOUR REGION

Let’s bring your landscape
into focus.

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