FieldState
Never lose what worked on your farm.
FieldState is your farm's memory. It turns daily notes, diagnoses, costs, actions, and observations into structured farm history across Africa and Asia, so the next season starts with context, not from zero.
Second maize loss this month, possible repeat
Re-ranked up from the logs you chose. A similar loss was logged 8 weeks ago.
Evidence: 3 logsStorage check due on the maize grain
Logged 12 days agoYellowing flagged on the south rows
Pick the logs that matter and ask FieldState's AI. It re-ranks what needs attention, with the evidence shown. You decide; it keeps the record.
The business problem it solves
Farms lose value when the record lives only in memory.
Most farm software is built for office review. Most AI tools are built for one conversation at a time. Neither matches how farmers actually work: in fields, livestock areas, storage points, and markets where decisions are made quickly and must still be remembered later.
A farm needs continuity. Crop seasons, livestock counts, treatments, observations, income, expenses, and diagnosis history all become more valuable when they are connected. Without that memory, every advisor handover starts cold and every new season repeats old uncertainty.
FieldState fixes this. It keeps the last-known state of the farm available, structures new events as they happen, and gives FieldGuide a memory layer that supports better decisions in the field and better review outside the field.
- Farm context repeated every session
- Crop and livestock changes scattered across notes
- Finance entries disconnected from field activity
- Advisor handover starts from scratch
- No reliable answer to "what changed last month?"
- Farm context carries forward automatically
- Crops, livestock, finance, and observations stay linked
- History remains queryable across seasons
- The same record carries forward across the farmer's own sessions
- Ask "what changed last month?" and get a real answer
What FieldState Captures
Four Core Capabilities
FieldState is not a dashboard and not a simple log. It is the farm's working memory: structured enough for review, practical enough for field work, and useful when FieldGuide needs context for the next answer.
Farm Lifecycle History
Tracks crop seasons, planting dates, growth stages, harvest storage notes, seeds bought but not planted, observations, livestock lifecycles, aquaculture units, and what changed over time. Instead of relying on scattered memory, the farm gets a structured timeline it can keep using.
Decisions, Actions & Finance Trail
FieldState connects the operational story: what was recommended, what action was taken, what it cost, what was sold, and what changed afterward. That creates a stronger business record than a dashboard snapshot.
Queryable Farm Memory
Ask natural-language questions against the farm record: "What changed in the maize season?", "How many chickens did we lose?", or "What did we spend last month?" FieldState gives FieldGuide recorded context to work from.
Pattern Detection Across Seasons
A recurring disease, repeated livestock loss, produce at risk of spoilage, rising input cost, weak block performance, or unresolved observation is not just an isolated event. FieldState helps surface patterns across stored records so teams can address causes, not just react to incidents.
From the field to a structured log
Record a log in any language. FieldState turns it into structured farm data.
Tap the mic and speak in Bemba, Lozi, Tumbuka, Tonga, English, or any other supported language. Type the note if your hands are dirty. Snap a photo if the field shows it better than words can.
FieldState transcribes the voice, normalises the language, attaches the photo, and saves a structured entry against the right farm, the right crop, the right plot, and the right moment in the season. Nothing important stays trapped in a voice memo or a scrap of paper.
- Voice in the farmer's language Multilingual mic input, no need to switch keyboards or wait until you are back at a desk.
- Text when typing is faster Switch to text entry for short notes; the same structured record still ends up on the timeline.
- Photo as evidence Attach a photo to any log so the visual context travels with the record for later review.
How They Work Together
FieldGuide Runs the Day.
FieldState Keeps the Record.
FieldGuide is the tool farmers reach for during the work itself, asking questions, checking a crop, recording finance, capturing livestock changes, or getting help from the wider FildraAI toolset.
FieldState is what makes those actions accumulate. Farm setup, crop seasons, observations, livestock lifecycles, finance entries, and meaningful FieldGuide outcomes become structured farm data. The next time the farmer opens FieldGuide, the farm has a memory.
Together, they close the loop between field execution and farm review. The same record carries forward between the farmer's own field sessions and later review, so context stays alive between the work in the field and the review that happens afterwards.
Farmer uses FieldGuide to ask, record, diagnose, navigate, or update the farm while the work is happening.
FieldState records the event as structured farm state: crop, livestock, finance, observation, or decision context.
Farmer, owner, agronomist, or extension officer reviews the same history, asks better questions, and sees patterns that were previously hidden.
The next FieldGuide session starts with recorded context, less repetition, fewer gaps, and stronger continuity across the farm.
Farm memory layer
Turn daily field work into a farm record your team can use.
FieldState is how FildraAI moves beyond one-off answers. It gives farmers and organizations continuity: the ability to act in the field today and still understand the decision tomorrow, next month, and next season.