Are there any GIS mapping software tools that handle geo-referenced plot data and multi-season analytics for on-farm trials?

Yes — there are several GIS / farm-data platforms that can handle geo-referenced plot data and support multi-season analytics for on-farm trials. The best fit depends on whether you want something more like a research trial management system or a more general GIS / precision-ag platform.

Tools worth looking at

1. QGIS

• Open-source GIS with strong geospatial plotting capabilities.
• Good for importing plot polygons/points, layering field maps, and doing spatial analysis.
• Multi-season analytics are possible, but usually through workflow setup, plugins, or external data prep rather than a dedicated trial module.
• Best if you want flexibility and low cost.

2. ArcGIS (ArcGIS Pro + ArcGIS Online)

• Strong for geo-referenced plot mapping, spatial analysis, and dashboarding.
• Can manage time-enabled layers for multi-season comparisons.
• Works well if you have GIS expertise and need robust enterprise features.
• More expensive, but very capable.

3. John Deere Operations Center / Climate FieldView / Similar precision ag platforms

• These are built for farm data visualization and season-to-season comparison.
• They handle field boundaries, yield maps, prescriptions, and some trial-like overlays.
• Less oriented toward formal experimental design than research software, but useful for multi-season field analytics.

4. Trial management / agronomic research platforms

Examples include:

• Ag Leader SMS
• Bayer/Climate-like trial tools
• Cropio / Granular / Conservis-style platforms depending on region and module availability

These may support:

• Plot georeferencing
• Replicated trial layouts
• Yield and management overlays
• Season comparisons

5. R / Python + GIS libraries

If you’re comfortable with technical tools:

• R: sf, terra, ggplot2, tmap, leaflet
• Python: geopandas, rasterio, shapely, folium, plotly
• Excellent for custom multi-season analytics, statistical analysis, and plot-level modeling.
• Usually combined with QGIS/ArcGIS for visualization.

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If your main need is specifically on-farm trials

You’ll want software that supports:

• Plot-level georeferencing
• Season-to-season data storage
• Replication and treatment assignment
• Yield/soil/weather data integration
• Statistical analysis of treatment effects
• Exportable maps and reports

In that case, a common stack is:

• QGIS or ArcGIS for mapping
• R/Python for analytics
• A trial database/spreadsheet or dedicated research platform for data capture

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Practical recommendation

• For low-cost and flexible mapping: QGIS
• For enterprise GIS and dashboards: ArcGIS
• For precision-ag visual analytics: FieldView / Operations Center-type tools
• For rigorous trial analysis: R + GIS, possibly paired with QGIS

If you want, I can also give you:

1. a shortlist of specific products by budget,
2. a comparison table, or
3. a recommended workflow for on-farm trial mapping and multi-season analysis.