Farm records AI — pest, soil, and yield logs you can query

Farms run on notebooks. Pest sightings, fertiliser applications, weather logs, harvest yields, vendor receipts, soil tests. Most of it gets written down once, filed, and never looked at again. The data is there — the recall is the problem.

A SeekFiles AI assistant scoped to your farm records turns three years of fragmented logs into a question-answerable system.

What to upload

• Field journals (scan handwritten notebooks; we OCR them)
• Soil test reports
• Pest sighting logs
• Application records (fertiliser, pesticide, irrigation)
• Weather records (or download local NOAA / PAGASA history)
• Harvest yield logs by field / variety
• Vendor receipts for inputs
• Cooperative or extension agency reports

Build one master "Farm Records" Assistant scoped to all of it.

Real questions a farm assistant should answer

• "When did we last apply lime to the north field? What pH did we measure after?"
• "What pests did we see in the corn during the 2024 season?"
• "What was the yield per acre on the soybean variety we tried in 2023?"
• "How many liters of glyphosate did we use across all fields last year? What was the cost?"
• "What weather pattern preceded the disease outbreak in tomatoes last August?"

Each answer cites the specific journal entry or report. You verify by tapping the citation.

Why this matters for farming specifically

• Multi-year decisions. Most farm decisions depend on what happened 2–3 seasons ago. Recall is the bottleneck.
• Audit and compliance. Organic certification, GAP audits, pesticide application records — all need verifiable historical records.
• Generational transfer. When the farm passes to the next generation, decades of institutional memory often go with the previous one. Documented + queryable records preserve it.
• Insurance + grant claims. "Show me yield records for the past 5 years" — fast.

Workflow for an active farm

• Daily: voice-record field notes; transcribe weekly into PDFs; upload monthly.
• Application logging: photo the chemical container + write the field/rate/date in a single picture; upload immediately. The AI extracts the data later.
• Quarterly: ask the Assistant for trend summaries ("What's been our biggest pest issue this quarter?").
• Annual: ask comparison questions ("Year-over-year yield change, by field").

Pitfalls

• Garbage handwriting. If your field notebook is illegible, OCR fails. Type it up or use a structured app for logging.
• Inconsistent units. Acres vs hectares, gallons vs liters, kilos vs pounds — the model will note the mix but can't fix it. Standardise as you upload.
• Missing records. AI can't tell you what didn't get logged. The discipline of recording still matters.
• Confidentiality. Cooperative reports may have other farmers' data; respect what you can/can't share.

Public Q&A bot for extension workers

Some agricultural cooperatives have built public Q&A bots scoped to their region's best-practice guidelines (planting calendars, pest IPM, soil amendments). The cooperative uploads the docs; member farmers query via slug, no signup. Saves the extension office hundreds of calls.

For PH context

DA, DOST, PCAARRD all publish region-specific bulletins. Upload the relevant subset for your area (Cordillera, CALABARZON, Bicol, etc.) and you have a local-best-practices assistant alongside your own records.

Farm records have been the most surprising use case in our user base — high-value, low-tech-savvy, big retention benefit. The pattern: upload three years of paper journals (or photos of journals), build one Assistant, never lose recall again.