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AI agent for agricultural scientists

Field Plot Sampling Schedule Optimizer Agent

Hit every sampling window within protocol tolerance despite weather and labor limits

PlanningSchedulingScience and research
See how it worksGet access
Field Plot Sampling Schedule Optimizer Agent: what goes in, what the agent does and what you get

What it does

A field trial requires soil and plant samples at set growth stages, and a rainy week or a short crew can push sampling outside the protocol window. The data then cannot be compared. This agent plans the sampling. It reads the protocol dates and allowed tolerance, the weather forecast and the crew calendar, and schedules each sampling window. When the weather changes, it reschedules and checks that each date stays within the protocol's timing tolerance. It also notes lab capacity for sample processing. The scientist approves the schedule. Edge case: the only workable day is a day after the tolerance window. The agent flags a protocol deviation to record.

How it works

Follow the arrows from top to bottom. The orange dashed arrow is the loop: when a check fails, the agent goes back and tries again.

Start and resultWhat it doesA check on its own workWaits for your OKGoes back and retries
Yes, continueApprovedYes, continueNoNo 1 STARTS WHEN Trial season starts or a window nears 2 USES A TOOL Load the protocol dates, tolerances and plot map 3 USES A TOOL Fetch the weather forecast and crew availability 4 DOES List the days inside each tolerance window wheresampling is possible 5 CHECKS THE RESULT Is there a workable day and crew for each window? If not: Propose the least bad day, add crew options andflag a deviation. Back to step 4. 6 DOES Check lab capacity for the sample load per day 7 DOES Draft the schedule with backup days 8 YOU APPROVE Scientist approves the schedule 9 USES A TOOL Notify the crew and lab 10 CHECKS THE RESULT Does the forecast update keep each date workable andwithin tolerance? If not: Reschedule and notify the crew and thescientist. Back to step 4. 11 RESULT Sampling schedule and deviation log
Read the steps as a list
  1. Trial season starts or a window nears
  2. Load the protocol dates, tolerances and plot map
  3. Fetch the weather forecast and crew availability
  4. List the days inside each tolerance window where sampling is possible
  5. Is there a workable day and crew for each window?If not: Propose the least bad day, add crew options and flag a deviation. Back to step 4.
  6. Check lab capacity for the sample load per day
  7. Draft the schedule with backup days
  8. Scientist approves the scheduleThe agent waits here for your OK.
  9. Notify the crew and lab
  10. Does the forecast update keep each date workable and within tolerance?If not: Reschedule and notify the crew and the scientist. Back to step 4.
  11. Sampling schedule and deviation log

How it decides

It picks days inside the tolerance window when conditions allow sampling and crew is available. If none exist, it proposes the least bad day and records a deviation.

  • Sampling happens only on days meeting the soil and rain conditions
  • Dates must stay within the protocol tolerance
  • A date outside tolerance is recorded as a deviation
  • No more than the lab's daily sample limit per day

Make it yours

Every agent is a starting point. You choose these settings for your own situation.

  • Tolerance per growth stage
  • Weather conditions allowed for sampling
  • Crew size and calendar
  • Lab daily limit
  • Forecast sources

What keeps you in control

It always asks you first

  • Scientist approves the schedule and any recorded deviation

Hard limits

  • Never changes protocol tolerance
  • Does not skip a window without approval

It stops when

  • Done: all windows sampled within tolerance
  • Stop: crew cannot cover a critical window, ask the scientist for options

Set it up

We guide you through the set-up, step by step

Members get the full set-up guide for this agent. No technical skills needed: you copy, paste and upload.

10 minto set it up in your AI
5 AIsChatGPT, Claude, Copilot, Gemini, Grok
  • One set of instructions to paste into your AI, with the clicks for ChatGPT, Claude, Microsoft 365 Copilot, Gemini and Grok
  • The agent then walks you through connecting your own data, one source at a time
  • A downloadable copy with the flow chart, the rules and the full guide
Get access to this agent

An example run

What happensA protocol needs sampling at flowering, target May 20 with plus or minus 2 days. The forecast shows rain on May 19 and 20. The agent finds May 21 and 22 workable, picks May 21 for the first half of plots and May 22 for the rest, with lab capacity for 120 samples per day. The scientist approves and the forecast holds.

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