Farm View. Which fields come first?
Benchmark every field on one map and see which to target first: the most variable, the lowest by yield, lime candidates by pH, the lowest current vegetation, the steepest. Then sort the attributes table on any layer: satellite, soil, yield, as-applied, as-planted and topography.
Sort the farm by any attribute.
The attributes table under the map, on a sample farm. Pick what to find, or any layer and a rule; the top three fields are marked, every column sorts both ways, and the farm row underneath is weighted by area as well as totalled.
Sample farm
Six corn fields, 314 ha, with satellite imagery, a soil lab round, the last harvest, the as-applied and as-planted maps, and topography. Indeed, the potassium figures are the ones in the walkthrough.
How the numbers are calculated
Per field
Average = mean of the layer’s cells inside the field boundary
Min and Max = lowest and highest cell inside the boundary
CV % = standard deviation ÷ average × 100
Farm row
Area = sum of the selected fields
Average = field averages weighted by area
Min and Max = lowest minimum and highest maximum
Rank orders the fields by the rule, so the badge stays on the same field whichever column the table is sorted by. On yield, slope and productivity the Farm row’s CV is the area-weighted mean of the field CVs.
What is in Farm View.
The farm as one map, with a statistics panel that reads whichever layer is on it. Select the farms and fields in the tree, then the panel fills in.
Every field on one map
Boundaries render together, each with its own legend, so a weak field stands out next to its neighbours.Any data layer
Satellite imagery, soil by any lab attribute, yield, as-applied, as-planted, topography and zones maps, either raw or processed. In addition, a transparency slider blends the layer over the basemap.Attributes table for any layer
Area, average, minimum, maximum and CV % per field for whichever layer is on the map, as well as the heterogeneity factor whenever it is a zones map.Sort by any column
Ascending or descending on every attribute, so the best candidates rise to the top, with the farm total and the area-weighted average underneath.Export
The table leaves as a file, so the ranking reaches the agronomist’s spreadsheet or the grower meeting unchanged. As a result, everyone argues from the same numbers.Quick actions
Create Sampling Plans and Create Equation Batch open with the selected fields already in, so the ranking becomes work orders.Before you start
Fields with a boundary. Satellite imagery and topography are there for every field without an upload, whereas soil, yield and as-applied layers need an import or a John Deere Operations Center sync.
Processed or raw. Cleaned yield and interpolated soil layers are marked Processed in the picker, so they are the default for benchmarking.
Labels on the fields. The filter reads field names and labels, so a crop or a landlord label selects the right set at once.
Which fields to target first.
One layer and one sort, then the best candidates are at the top of the table.
Which fields get the soil sampling budget?
Sort by CV % on the last soil layer, then open Create Sampling Plans with the top of the list. Uniform fields can wait a season, because a flat rate already fits them.Where is the limiting factor?
Sort the last harvest lowest first, then open the field in Compare Layers with soil and topography next to the yield, so the cause is known before a rate changes.Which fields need lime this autumn?
Sort soil pH lowest first, because lime raises pH. The acidic fields head the lime plan, and a wide minimum-to-maximum gap on one of them is where a variable-rate lime map pays, so confirm the rates with trial strips before scaling them.Where do I scout first?
Sort the latest NDVI lowest first. A field below the farm average mid-season is the first stop, and then the note goes into Scouting from the same map.Where do runoff and erosion start?
Sort slope highest first. The steep fields get the conservation tillage, the buffer strips and the nitrogen split, while their 3D maps show where the water goes.Did the machines do what was planned?
Sort the applied nitrogen highest first and the seeding rate lowest first. In that case a field far from the plan is an execution issue rather than an agronomic one.From the ranking to the field.
Create Sampling Plans
Grid or zonal, core or composite, for all selected fields in one run. Then the path is routed, the lab labels are printed, and the points are on the mobile app.Create Equation Batch
One equation across the selected fields: nutrient removal, a variable-rate prescription or a profit map. In each case the average and total per field come along.Export the table
The ranking with the same columns for every field, for the budget meeting as well as the landlord report. Therefore the order of work is agreed once.
Getting data in: yield and as-applied layers sync from John Deere Operations Center or import as files, while soil results import as CSV, Excel or shapefile.
Where ROI comes from.
Prioritization
Sampling, scouting and variable-rate budgets go to the fields that move the farm average instead of being spread evenly. Consequently the same budget returns more.Input savings
A flat rate on a field whose maximum is three times its minimum is the first place to cut, because half of that product lands where it is not needed.Yield gains
Fields below the farm average on long-term productivity carry the upside, so they are where a limiting factor is worth finding first.Time
One table replaces opening the fields one at a time. As a result, the farm review before the season takes an hour rather than a day.Risk reduction
A field whose minimum sits far below the rest is checked before planting instead of being explained after harvest.Evidence
An exported table with the same numbers for every field settles the ranking with owners as well as advisors, because nobody argues with a column they can sort.Growers, advisors, cooperatives, and producers.
Growers and farm managers
Rank the farm before the season, then spend the sampling and input budget where it returns. Afterwards, the harvest shows whether the ranking held.Agronomists and advisors
Benchmark every client field on one layer, then walk into the meeting with the order of work.Cooperatives and agriholdings
Hundreds of fields across farms and organizations, with roles and sharing per team, in one table. So a regional lead sees the whole estate on one layer.Seed and fertilizer producers
Rank trial fields by the response layer, then run the same equation across all of them in a batch. Finally, the averages go into the trial report.Offer it under your own brand.
Farm View ships in GeoPard white-label deployments, so your growers benchmark their farms inside your brand. Likewise, the sampling plans and the equation batch run under it.
Ask the AI Assistant which field comes first.
It reads the same fields and layers: ask for the most variable fields on potassium, or have it start the sampling plans for them. Either way, you approve every step.
Common questions.
Which data layers can I benchmark?
Satellite imagery, soil by any lab attribute or scan, yield, as-applied, as-planted, topography and zones maps, either raw or processed. Then the attributes table reads whichever layer is selected on the map, one attribute at a time.
What does a high CV % mean for a field?
CV % is the standard deviation divided by the average, so it compares variability across fields with different averages. A soil nutrient above 25% is usually worth zone sampling, whereas below 10% a flat rate is defensible; confirm the cut-off with your lab and crop plan.
Can I benchmark fields across several farms?
Yes. Select several farms in the tree, or filter by field name or label, then the table lists every selected field. In addition, the farm total and the weighted average sit underneath.
How do the layers get into GeoPard?
Satellite imagery and topography are there as soon as a boundary exists. Yield and as-applied layers sync from John Deere Operations Center or import as files, while soil results import as CSV, Excel or shapefile. Read the Farm View tutorial
What GeoPard users say.
“GeoPard doesn’t just help us visualise data, it gives us the tools to analyse it, create solutions, and write prescriptions.”
Steve LarocqueBeyond Agronomy owner and FarmVU CEO“A system where I store my own data and receive current satellite imagery from my fields, securely in the cloud and accessible any time. My data is only shared when I give permission.”
Nicole BarteldsDataboerin“Using GeoPard has streamlined key parts of our workflow. In seasons where time is money, we can rely on the GeoPard team to get it done.”
Brendon FriesenPointForward, operations and technology manager“We’re happy to have GeoPard among the platforms working with SoilOptix data, giving growers and agronomists the tools to accurately analyse and manage their fields.”
Zachary HarmerSoilOptix“GeoPard’s analytics make it easy for our team and farmers to use precision-ag tools effectively. Reliable analytics and steady support through the season improved our input planning.”
Open Farm View on your fields.
The statistics table sits under the map on every farm with a boundary, so the first ranking is one layer away.
English 
German 
Ukrainian 
French 
Kazakh 
Portuguese 
Spanish 
Arabic 
Swedish 
Serbian 
Romanian 
Norwegian 
Finnish 
Lithuanian 
Estonian 
Latvian 
Croatian 
Slovenian 
Slovak 
Japanese 
Polish 