Agricultural intelligence · India

Keep the knowledge
your field creates.

KishKam Field is a mobile diary in development for Indian farmers. Keep fields, crops and daily farm activities in one place. Those records are the first step towards agricultural knowledge we can investigate and test.

KishKam Field in development · Pilot region to be announced
Green paddy fields in morning light
ROOTED IN THE FIELDEvery activity.
A piece of the field’s history.
↗
KishKam FieldField records · farming diary
Field intelligence, in progress
Start with KishKam Field

Your farm work, recorded.

Record a sowing date. Note an irrigation. Return to what happened in a field, with the crop and season in view.

Prototype in development

We are collecting farmer interest before selecting a pilot region. Joining the interest list does not provide immediate app access or guarantee a pilot place.

View current app screens →
The starting point

A field has a history.
Give it a record.

What was sown? When was the field irrigated? What changed after an input? KishKam Field starts with records farmers can return to, instead of relying on memory at the end of a season.

Meet KishKam Field →
Why we started

A conversation in Khammam.

A conversation with a chilli farmer in Khammam highlighted how difficult it is to compare one farming season to another without reliable records. Unsure why yields differed year to year, his experience underscored KishKam’s founding principle: agricultural knowledge must be recorded before it can be investigated.

Read the founder’s note →
Our approach · records, context, evidence

Begin with records.
Advance with evidence.

01

Field records

Put field details, crop information and dated activities into a usable farming diary.

02

Contextual evidence

Document a practice with its crop, season and local conditions before investigating its outcome.

03

Intelligent tools

Develop decision support and automation around validated field needs, with clear limitations.

For farmers, researchers & agricultural partners

Help define what belongs in a farmer’s toolkit.

We want to hear how farmers keep records, what they need to investigate, and where technology adds work instead of helping. Partner with us to shape the first pilot and the questions it should answer.

Partner with KishKam ↗
RECORDS · CONTEXT · EVIDENCE
Field intelligence, in progress
Research direction · not live farm data
Field intelligence, in progress

A record is the beginning.
Context makes it useful.

The same farming practice can produce different outcomes in different fields. KishKam’s research asks what happened, under which conditions, and what evidence supports the explanation.

Crop & seasonField historyLocal practicesScientific evidence
Explore the research approach →
Rice leaves and dew in morning light
Observe before advising

The detail behind a crop question.

Field observations need crop context and supporting evidence. Our approach preserves both as we investigate what a practice or symptom might mean.

A seedling, soil sample and sensor components on a workbench
Long-term sensing research

Start with a task worth measuring.

Our path to robotics begins with understanding the task, the field conditions and the evidence needed to evaluate an engineering solution.