Vegetable Farm Record-Keeping Checklist — Daily, Weekly, Per-Cycle

Vegetable farms are the hardest type of operation to keep good records for. The cycles are short. The crop mix is wide. Workers handle multiple plots in a single day. Inputs and outputs run on different clocks. Most operations end up with notebooks they can’t make sense of two months later — or, more commonly, no records at all.

This checklist is the minimum a smallholder vegetable operation needs to record to make data-driven decisions. It’s split into daily, weekly, and per-cycle items so you can actually keep up with it.

Why vegetable farms are the hardest to record well

Three structural reasons:

1. Cycle compression. A leafy green cycle can be 30 days. By the time you’ve finished setting up your record-keeping spreadsheet, the cycle is over and the data is gone. The records have to start on day one, or they don’t happen.

2. Crop diversity. A 2-hectare vegetable operation might run 8–12 crops in rotation. The data shape is different for each (root crops vs leafy crops vs fruiting crops). A one-size-fits-all spreadsheet quickly becomes useless.

3. Daily handoffs. Workers move between plots multiple times a day. A single morning might involve weeding on one plot, transplanting on another, and harvesting on a third. Logging this from memory in the evening loses 30–40% of the detail.

The fix to all three is: log in the moment, log from the phone, log only what matters. Below is what matters.

Daily record-keeping checklist

• Weather observation. Temperature high, humidity, rainfall. (Peladang pre-fills this from the 14-day forecast — you confirm or override.)
• Worker attendance. Who was on the farm, what hours. Workers log themselves in Field Mode.
• Activities performed. Per plot, what work happened (weeding, irrigation, transplant, harvest, spray). Peladang’s unified report form handles all of these.
• Pest/disease observations. Anything unusual. A photo is enough — don’t worry about identifying the pest in the moment; that’s what the agronomist or AI advisor is for.
• Harvest entries. Per crop, per plot. Weight, quality grade, buyer, price-per-kg. Logged at point of harvest, not at end of day.

Total time per day: about 5–10 minutes spread across the team. Each worker logs their own work; the supervisor doesn’t centralise it.

Weekly record-keeping checklist

• Plot conditions audit. Walk each plot once a week. Soil moisture, plant stress signs, weed pressure. 30 seconds per plot is enough.
• Stand count. Living vs dead vs missing plants. Particularly important after transplant and during fruiting. The disease alert engine uses this signal.
• Inventory check. Fertilizer remaining, pesticide remaining, seedling tray inventory. The platform auto-deducts from usage logs, but a weekly check catches the discrepancies.
• Expense reconciliation. Cross-check the week’s expenses against receipts. If something was bought and didn’t make it into the system, log it now.
• Read the dashboard. Five minutes looking at the past week’s harvest totals, the active alerts, and the budget vs actual on each cycle. This is the habit that keeps the data live.

Per-cycle record-keeping checklist

• Pre-cycle: budget. Estimate the input costs (seed, fertilizer, labor) and the expected revenue. Peladang lets you set this at the planting level. The Budget vs Actual report tracks drift in real time.
• Day 0: planting setup. Crop, variety, plot, planting date, plant count, target harvest date. 5 minutes once.
• Mid-cycle: stage transitions. Mark the planting as having moved between stages (germination, vegetative, flowering, harvesting). Peladang infers some of this automatically; you can override.
• End of cycle: close out. The “Close Cycle” button on the planting page appears once harvest has been active for 10+ days. One click closes the cycle and locks the records.
• Post-cycle: review. The Profit Report shows what the cycle earned. The Yield Forecast shows actual vs target. The Selling Price History shows price drift. Compare against previous cycles for the same crop. This is the data that informs the next planting decision.

Common pitfalls

Pitfall 1: trying to track too many crops at once. Start with the 3–4 crops that drive the most revenue. Add the rest after one full cycle of those.

Pitfall 2: making the worker enter data they didn’t observe. If the worker who harvested the chili didn’t weigh it, don’t ask them to estimate the weight in the evening. Buy the scale. Logs are only as good as the observations behind them.

Pitfall 3: skipping the weekly dashboard check. The dashboard is the feedback loop. Without it, logging becomes a chore with no payoff and the team stops doing it.

Pitfall 4: not splitting plots by crop. If two crops share a plot, you can’t calculate per-crop profitability. Either define them as separate plots within the same farm, or accept that you’ll get farm-level rather than crop-level data.

What the data gives you, six months in

After two full cycles of decent record-keeping, you’ll know:

• Which crops are actually profitable on your specific plots (often surprises everyone).
• Which plots over- or under-perform vs the same crop elsewhere on the farm.
• Where your input spending creeps up — and when.
• Which buyers consistently pay better, which ones underpay.
• What your real labour-cost-per-kg looks like, by crop.

That’s the dataset that lets you decide what to plant next cycle, when to renegotiate with a buyer, and where to invest in better infrastructure. None of it’s available without the records.

The full toolkit described here runs on Peladang’s free tier: financial tracking, field scouting, team management, 14-day weather forecasts. No paid upgrade required. Sign up free — setup takes about 5 minutes.