Satellite farm monitoring for Saudi agricultural operations

Managing separate pivots, orchard blocks and remote fields demands one view of what changed and who will check it. Mothmr connects dated satellite readings to parcel boundaries, field visits and verified work. The Saudi examples here describe use cases, not customer deployments.

Screenshot of the Mothmr crop monitoring app: Find your field
English product preview · demonstration records

How it works

  1. 01

    Map the operation

    Outline Saudi farm parcels or import existing field boundaries, so every reading and work order belongs to a specific place.

  2. 02

    Check signals over time

    Compare dated plant, soil and water observations with their coverage and cloud limitations; use them to prioritize field inspection, not to diagnose a crop automatically.

  3. 03

    Coordinate the response

    Assign inspection tasks, follow crew progress and retain evidence for supervisors reviewing multiple fields.

What it covers

Fields and boundaries

Draw a boundary on the map, enter its coordinates, or import CSV, GeoJSON, KML or KMZ starting from a downloadable template. Every proposed parcel is previewed before it is saved, and duplicate, invalid or failed rows are listed with their reasons — nothing is discarded quietly. Saving a field starts preparing its satellite history, with the progress shown on its record.

Satellite history, parcel by parcel

Every satellite pass over your field is recorded with its acquisition date and how much of the field it actually covered; a pass the cloud hid stays on the record as exactly that. Choose a year, a day and a pass to see the field in true colour with its boundary drawn on, filter the archive by period, coverage or cloud, and open any pass for its time, cloud figures, resolution and plant-reading statistics.

Crop monitoring over time

Dated series for plant vigour, canopy moisture and a chlorophyll-sensitive reading, each with its latest value, the change since a comparable earlier pass and a recent baseline. A sharp drop is told apart from a decline that persists over successive passes, you choose the window, and the measurements behind every comparison — coverage and usable pixels included — are one click away. A change is a reason to visit, not a diagnosis.

Heat that shows thirst

Landsat 8 and 9 measure the surface temperature of every field. Mothmr compares the field with the open ground around it: a crop with water runs cooler, and a field that has warmed to match its surroundings is worth checking. Readings arrive about every eight days and suit fields of roughly five hectares and larger.

Zones within the field

Switch on zone borders over a reading’s map to see where the field is much lower, lower, typical, higher or much higher than the rest of it on that pass, with the strongest outlines around the areas that differ most. Each class shows its average reading, its share of the field and its approximate hectares, and a field that reads evenly is reported as even. Zones point a visit at a place; they are not a treatment map.

Work orders and their proof

Turn an observation into a task carrying its field, its person, its priority, its due date, its instructions and the proof it requires, across fifteen kinds of work from irrigation checks and scouting to spraying, pruning and harvest. The crew submits photos and notes from a phone; a supervisor verifies the work or sends it back with a reason. The status lifecycle is enforced on the server, so no screen can skip a step.

Records you can take away

A report for each field and season — its details, satellite record, weather, work, evidence and attention history — and ten organization reports: crop summary, workforce, portfolio health, supervisor workload, task completion, overdue and blocked work, shift performance, attention response, season progress and parcel exceptions. Download CSV, or print and save as PDF from the browser. Every report carries the parcel scope of whoever asked for it, so nobody downloads a field they could not open.

What to keep in mind

Satellite observations

Sentinel-2, every few days, free and public. Cloud hides the ground, so some passes produce no usable reading — every reading is shown with its own acquisition date and the share of the field it covered.

Weather

Point estimates for a field's location, not a measurement of variation within it. Official warnings are relayed when the provider supplies them, and an unreachable provider is shown as unreachable rather than as no warnings.

Questions

A useful tool should be clear about what it can do, and where your judgement still matters.

Can I bring my existing fields?

Yes. Draw boundaries on the map or import CSV, GeoJSON, KML or KMZ files. Review the proposed parcels before saving them. Each new field enters its own processing queue.

Are satellite observations live?

No. The satellite passes every few days, and clouds can hide the ground. Each reading shows its acquisition date and usable coverage. When a pass is obscured, the last usable reading remains dated and visible. Sentinel-1 radar is not stopped by cloud, so a cloudy week still has a moisture reading.

Does Mothmr diagnose pests or disease?

No. A falling reading, a zone lower than the rest of the field or a low probe value is a reason to inspect, shown with the dates and figures behind it. Mothmr does not diagnose pests or disease, prescribe a product or a dose, or calculate an irrigation amount — the person in the field decides.

See it on your own fields

Tell us about your farm and the work you want to coordinate, and we will plan a demonstration around your fields and roles.

Request a demo