Multi-depth soil moisture
Surface vs root zone — irrigation and drought decisions.
Field scale
Field farming
Hectares and block planning, check reminders and drone maps — separate from home care.
StartFirst step: mark a crop on a parcel.
Devices
At field scale, track multi-depth moisture, weather and scouting imagery — not pot-care UI.
📡 Sensors
Add sensorNo sensors in this area.
Soil temperature
Sowing and growth timing in cold springs.
Weather / rain
Tie checks to weather: when to drive, when to wait.
Open →Scouting camera / drone (XAG mapping)
Boundaries and stress on a map; no spray advice in this app.
Satellite monitoring for fields Pro
Crop greenness (NDVI) for your own field parcels from Sentinel-2, the latest cloud-free image and weak spots for drone work.
Open satellite →Home growing (watering, reminders) lives in the Home area. Field combines planning and check reminders — separate storage key.
Open Home (plot care) · Field guide: harvest quality · Industrial hemp in the field · Open step-by-step XAG workflow
Industrial hemp in the field
Growing industrial hemp (fibre and seed): law, sowing, fertilising, harvest and a season checklist.
Open guide →Weather observation
The station is chosen from a location: the field centre, this device, or a typed place. Figures come from the Finnish Meteorological Institute. If the station does not report a value, it is not invented.
Plot planning
Name, area, crop, soil, goals and moisture note. Check reminders at 3/7/14 days. Storage: plantcare-farm-plots-v1.
This block stays only in this browser until you sign in.
No field plots yet. Add the first one for planning.
Choose a field block
This is separate from a new plot plan. Pick a saved field or plot and set the main crop. The draft fills the following years from that.
No saved parcels yet – you can type a name.
Data is only in this browser for now. Sign in to save it to your account. Sign in
Import machine data
Import a tractor or sprayer ISOXML task file (TASKDATA.zip or TASKDATA.XML) or a DJI Agras drone task history (SmartFarm export .xlsx/.csv). You first see what the file contains, then link the work to your blocks. Only the values read from the file are stored, not the file itself.
Imported work is saved to your account. Sign in to use it.
Imagery and mapping with XAG drones
Drone imagery helps plan plot boundaries, spot stress, and follow the crop. Spraying is a different matter — and often permit-based.
Open step-by-step XAG workflow
Mapping for planning
Ortho images and boundaries support plot plans: where a plot starts and ends, where it is wet or weak.
Scouting / stress
Repeated imagery gently reveals crop differences before you see them on foot — decision support, not an automatic “AI diagnosis”.
XAG in Finland (Mtech)
The user said “ZAG” — we mean XAG agricultural drones. In Finland, heavier ag drones are often reached via Mtech. This page is not a commercial tie-in, just a pointer.
Imagery ≠ spraying
Imagery and mapping are the lighter step. Spray drones have their own rules (e.g. Tukes and other authorities). Check permits before use.
Short note: DIY electronics and drone use at your own risk. Spraying may need permits — this is not legal advice.
No live drone API in this version — planning and link-style guidance only.
XAG workflow: from mapping to plot planning
Practical steps from drone imagery to logging a SproutMindAI field plot. Imagery and mapping are not the same as spraying. No live drone API — this is planning guidance.
Mapping ≠ spraying. Mapping/scouting yields an ortho image and observations for planning. Spray drones have their own rules (e.g. Tukes) — check permits before use. This is not legal advice.
XAG in Finland. Heavier ag drones are often reached in Finland via Mtech. Not a commercial partnership — just a pointer.
Define the block and goal
Decide what you will image and why: boundaries, drought, crop variation, or repeat monitoring. Log the goal in the field-plot plan before the flight.
Flight preparation
Check weather, line of sight, and safety. Short note: permits and Tukes matter especially for spraying — mapping still needs responsible flying. At your own risk.
Imagery / mapping
Fly an XAG-style mapping or scouting mission. RealTerra-style mapping idea: systematic coverage → ortho image. No made-up tech specs — follow your equipment’s guidance.
Map → observations
Read the ortho: dry patches, weaker crop, wet hollows, fuzzy boundaries. Note observations — do not assume an automatic diagnosis.
Log in the SproutMindAI field plot
Update the moisture note and goals, set the next check (3/7/14 days). From image to decision — the plot plan is home base.
Repeat and compare over time
Repeat imagery through the season. Compare: did stress change, did the crop even out? Monitoring beats a one-off shot.
No live drone link in this version — workflow illustration and planning only.