Precision Agriculture Powered by Satellite Intelligence
See where your fields need attention before you waste time and resources. No sensors. No routine drone flights.
Raw satellite data can be difficult to interpret. Twin Farms turns multispectral imagery into practical visual insights that help growers, agronomists and agricultural organizations understand field variability without reviewing complex technical data.
6,000+
hectares monitored
6
crop categories
15
DAYS PER UPDATE
3
ACTIVE COUNTRIES
Five Maps.
One Clearer View of Your Farm.
No single index tells the full story. Twin Farms combines four agronomic layers with historical tree-cover analysis to identify field variability, prioritize inspections and track changes over time.
NDVI Crop Vigor Map
See where crop performance differs and know where to inspect first
NDVI measures the contrast between red and near-infrared reflectance to show relative differences in green vegetation across a field. It provides a clear overview of crop vigor, canopy coverage and spatial uniformity.
Use the NDVI map to:
-
Identify stronger and weaker areas within the field.
-
Detect uneven establishment or vegetative development.
-
Compare blocks, management zones and dates.
-
Direct field inspections toward areas showing unusual change.
-
Follow crop development throughout the season.
NDVI is especially useful for understanding overall field variability. A low value indicates that an area should be reviewed, but it does not identify the specific cause. Field confirmation is required to distinguish between crop stage, exposed soil, water limitations, nutrition, disease, damage or other factors.
NDRE Chlorophyll & Nutritional Status Map
Identify chlorophyll and nutritional differences and know where to inspect and sample first
NDRE uses red-edge satellite data to show relative differences in canopy chlorophyll, which is closely associated with plant nitrogen status. It is especially useful in developed and dense canopies, where NDVI may become less sensitive.
Use the NDRE map to:
-
Compare chlorophyll response across the field.
-
Identify areas with potential nutritional variability.
-
Direct leaf analysis, tissue sampling and field inspections.
-
Compare crop response before and after fertilization.
-
Monitor differences across blocks, varieties and dates.
NDRE supports nutritional assessment but does not independently diagnose nitrogen deficiency or determine fertilizer requirements. Results should be confirmed through field observations, crop records and, when necessary, leaf analysis.
NDMI Canopy Moisture Map
See how canopy moisture varies across the field and direct water-related inspections more efficiently
NDMI uses near-infrared and shortwave-infrared reflectance to show relative differences in vegetation water content and canopy moisture. It helps users compare wetter and drier crop zones and follow how those patterns change over time.
Use the NDMI map to:
-
Identify relative moisture differences within the crop.
-
Locate areas that may require irrigation or drainage inspection.
-
Compare field response after rainfall, irrigation or dry periods.
-
Monitor the effects of drought, excessive rainfall or uneven water availability.
-
Evaluate moisture patterns alongside NDVI and NDRE.
NDMI is an optical indicator of vegetation moisture. It does not directly measure soil moisture, irrigation requirements or Crop Water Stress Index (CWSI). Very high or low values should be checked in the field and reviewed for possible effects from standing water, exposed soil, clouds or crop stage.
Leaf Index Canopy Development Map
Track how your canopy develops and identify areas falling behind
The Twin Farms Leaf Index provides a relative view of foliar development and canopy density across the selected field. It helps users understand how plant structure and leaf coverage vary from one zone to another and how those differences evolve during the crop cycle.
Use the Leaf Index map to:
-
Compare relative foliar density across production zones.
-
Follow canopy establishment and development.
-
Identify areas with lower or irregular leaf coverage.
-
Compare fields, blocks and monitoring dates.
-
Support field evaluation of crop growth and uniformity.
Leaf Index reflects relative canopy development. It does not directly measure plant temperature, transpiration or crop water stress.
Historical Tree-Cover Change Map (Deforestation)
Review historical tree-cover change within and around mapped farm boundaries to support screening, documentation and deforestation-related due diligence
The historical tree-cover change map helps users review where potential tree-cover loss or land-use change has been detected within or around a farm boundary. It provides an additional geospatial layer for sustainability screening, supplier verification and responsible sourcing programs.
Use the map to:
-
Review historical changes within registered farm boundaries.
-
Identify areas that require additional documentation or verification.
-
Support farm geolocation and supplier traceability.
-
Organize evidence for sustainability and responsible sourcing reviews.
-
Strengthen preliminary due diligence related to deforestation requirements, including EUDR-related workflows.
This layer supports screening and documentation. It does not, by itself, certify legal compliance, determine the cause of land-cover change or replace official records, field verification or legal due diligence.
Why it matters
Stop Managing Every Hectare the Same Way
Field scouting is essential, but inspecting every part of every farm takes time, labor and fuel. Twin Farms provides an updated satellite-based view every 15 days, subject to image availability and cloud conditions, helping your team identify priority zones before entering the field.
With Twin Farms, you can:
-
Focus inspections, sampling and agronomic reviews.
-
Compare fields, blocks and monitoring dates.
Compare field patterns before and after management activities.
Coordinate multiple farms from one platform.
-
Maintain historical records for traceability and sustainability.
-
Use water, inputs, labor and field time more efficiently.
Satellite Intelligence Without the Complexity
Twin Farms converts satellite and geospatial data into clear, color-coded field priorities that growers, agronomists and managers can understand quickly.
See the difference. Check the right place. Act with better information.
Let’s Talk About Your Farm
Tell us a little about your farm and what you’re looking to improve. This information will help us understand your needs and show you how Twin Farms can support your operation with satellite insights and better data for field decisions.
Contact us for something else?
Need help with anything else or want to get in touch with our team? We’re here to help.
FAQ
Backed By
Press Highlights
How Satellite Crop Monitoring Works
Map Your
Fields
Draw or upload the boundaries of your farm, field or production block. Organize multiple properties and management zones in one platform.
Get Your
Analysis
Twin Farms processes satellite and geospatial data to generate five complementary layers: NDVI, NDRE, NDMI, Leaf Index and historical tree-cover change.
Review Updated
Maps
New maps are generated every 15 days, subject to satellite availability and cloud conditions. Color-coded zones make field variability easier to understand.
Inspect, Compare
and Act
Use the maps to focus field visits, compare zones and dates, document changes and determine where agronomic review may be needed.