NDVI Scanning and Multispectral Analysis by Drone
Romania has approximately 9.4 million hectares of agricultural land, of which 7 million hectares are arable. This land is worked by farms averaging 3.6 hectares (the smallest in the EU) alongside commercial operations exceeding 500 ha. Regardless of scale, the fundamental problem remains: how do you know what is happening in the field without physically visiting every parcel every week?
NDVI (Normalized Difference Vegetation Index) scanning with multispectral drones provides a precise answer. The sensor captures light reflected by plants in the red and near-infrared bands, and the ratio between them generates a vegetation health map at 2-5 cm/pixel resolution — 100 times more detailed than any commercial satellite image.
In a country where annual rainfall ranges from 350 mm in Dobrogea to 700 mm in Transylvania, and summer temperatures frequently exceed 35 degrees C in the Baragan Plain, rapid vegetation stress monitoring is not a luxury. It is the difference between timely intervention and documenting losses at harvest.
What NDVI is and why it matters
NDVI is an index with values between -1 and +1. The formula: NDVI = (NIR - RED) / (NIR + RED). Healthy vegetation strongly reflects near-infrared (NIR) and absorbs red (RED), yielding NDVI values of 0.6-0.9. Stressed plants — from drought, disease, nutrient deficiency — reflect more red, and NDVI drops below 0.4. Bare soil reads 0.1-0.2, and water reads below 0.
The critical difference: the human eye detects vegetation stress only when leaves visibly yellow — 3-4 weeks after the problem begins. A multispectral sensor identifies the change in NIR reflectance 2-3 weeks before visible symptoms. This early intervention window is the difference between a 50 RON/ha treatment and losing 30% of the harvest.
A concrete example: Fusarium head blight in wheat during flowering (BBCH 61-69) must be treated preventively, before visual symptoms appear. The NDVI map identifies zones with low vigor where infection risk is highest, enabling targeted treatment within the critical 72-hour window. Without this information, the agronomist either treats the entire area uniformly (double cost) or misses the window and loses 20-40% of yield in affected zones.
How the ProxyDrone service works
Step 1 — Order. Enter your parcels in the ProxyDrone app (draw on the map or import GPS coordinates). Select your desired resolution: standard (5 cm/pixel) or high (2 cm/pixel). Choose deliverables: raw data, processed NDVI map, or full agronomic report with recommendations.
Step 2 — Flight. A verified operator in your area receives the mission. The drone equipped with a multispectral sensor (typically MicaSense RedEdge-P or DJI Mavic 3M) flies automatically on a preset route at 40-80 m altitude. It covers 30-50 ha/hour, with 80% image overlap for a seamless orthomosaic.
Step 3 — Processing. Images are aligned, radiometrically calibrated, and combined into a georeferenced NDVI map. Zones are classified into 5 vegetation vigor categories, from severe stress (red) to optimal health (dark green).
Step 4 — Delivery. You receive the NDVI map in KML, shapefile, or John Deere Operations Center compatible format. If you chose the agronomic report, a specialist interprets the map and provides zone-specific treatment recommendations.
Drone vs. satellite vs. no monitoring — direct comparison
| Criterion | Drone NDVI (ProxyDrone) | Satellite (Sentinel-2 / Planet) | No monitoring |
|---|---|---|---|
| Spatial resolution | 2-5 cm/pixel | 3-10 m/pixel | — |
| Frequency | On demand, same day | 5-6 days (if cloud-free) | — |
| Affected by clouds | No (flies below clouds) | Yes — 40-60% of passes lost | — |
| Detection of small zones (<0.1 ha) | Yes | No (below resolution limit) | No |
| Cost per hectare | ~150 RON/ha | Free-30 RON/ha | 0 RON |
| VRA map precision | Zoning at 1 m² level | Zoning at 100 m² | Uniform application |
| Delivery time | 24-48 hours | 2-7 days | — |
| Directly exportable VRA maps | Yes (KML, SHP, JD, ISOXML) | Requires additional processing | — |
Economic analysis: ROI on a 200 ha wheat farm
Scenario: 200 ha winter wheat farm in the Romanian Plain, average yield 5.2 t/ha, wheat price 1,100 RON/tonne.
Gross revenue per hectare — scenario comparison
Detailed calculation:
- NDVI scan cost: 200 ha x 150 RON = 30,000 RON (2 flights per season)
- Yield increase from targeted intervention: +12-15% = +0.65 t/ha
- Additional revenue: 200 ha x 0.65 t x 1,100 RON = 143,000 RON
- Fertilizer savings via VRA: 15-20% = ~24,000 RON
- Net ROI: 137,000 RON additional profit on a 30,000 RON cost = 4.6x
Even on a smaller 50 ha farm, the 15,000 RON cost for two scans is recovered from fertilizer savings alone, before accounting for yield increase.
Variable Rate Application (VRA) maps — from NDVI map to machinery
The most valuable application of NDVI scanning is generating Variable Rate Application (VRA) maps. The process: the NDVI map is classified into 3-5 management zones, each zone receives a personalized dose of fertilizer or crop protection product, and the prescription is exported in ISOXML or shapefile format directly compatible with the equipment terminal (John Deere, CLAAS, Trimble, Raven).
For wheat, an NDVI-based nitrogen VRA map redistributes the same total fertilizer quantity: zones with low NDVI (weak vegetation, high response potential) receive +30-50 kg N/ha, while zones with high NDVI (already vigorous vegetation, lodging risk) receive -20-40 kg N/ha. Results on farms in the Romanian Plain: yield increase of 0.4-0.8 t/ha without purchasing a single additional kilogram of fertilizer.
For corn, the VRA map guides variable seeding density: zones with high potential (historic NDVI consistently >0.7) are seeded at 82,000 seeds/ha, while marginal zones (NDVI <0.5) are seeded at 68,000 seeds/ha. Yield difference: 0.8-1.5 t/ha in favor of variable zoning.
Practical applications in Romanian crops
Wheat and barley
The first NDVI scan at BBCH 30-32 (tillering-elongation phase) identifies zones with low density or water stress. The resulting map becomes the basis for variable rate nitrogen application: zones with NDVI below 0.45 receive supplemental doses, those above 0.7 receive reduced doses. The result: the same total fertilizer amount, distributed intelligently, increases yield by 8-12%.
Corn
Scanning at V6-V8 reveals emergence problems undetectable by eye: sparse rows, compacted zones, borer attack. In corn, every missing plant per square meter means 15-20 kg of lost yield per hectare.
Sunflower
NDVI at the budding stage accurately predicts final yield. Zones with NDVI below 0.5 at R1 will have small heads — you can redirect harvesting and storage resources accordingly.
Rapeseed
Autumn scanning (BBCH 16-18) clearly shows development differences between parcels. Plants with small rosettes (NDVI 0.3-0.4) need supplemental spring fertilization; those with dense rosettes (NDVI >0.7) can receive reduced doses without yield loss.
Spectral bands captured
Multispectral sensors on ProxyDrone drones capture 5 bands: Blue (475 nm), Green (560 nm), Red (668 nm), Red Edge (717 nm), and NIR (842 nm). From these bands, the following indices are calculated:
- NDVI — general vegetation health
- NDRE (Normalized Difference Red Edge) — sensitive to chlorophyll content, more precise than NDVI in dense canopy
- GNDVI (Green NDVI) — correlated with nitrogen content
- SAVI (Soil Adjusted Vegetation Index) — compensates for soil interference in early growth stages
- OSAVI (Optimized Soil Adjusted VI) — optimized variant for crops with partial soil coverage
Red Edge (717 nm) is the most valuable band for precision agriculture. Unlike classic NDVI (which saturates in dense vegetation — it cannot differentiate between "good" and "very good"), the NDRE index based on Red Edge continues to provide useful information at NDVI >0.8. This makes NDRE ideal for monitoring wheat in the boot-to-heading stage, when the canopy is fully closed.
Recommended scanning frequency per season
| Crop | Scans/season | Critical moments | Total cost (100 ha) |
|---|---|---|---|
| Winter wheat | 3 | Post-dormancy, elongation, grain fill | 45,000 RON |
| Corn | 2-3 | V6-V8, VT, grain fill | 30,000-45,000 RON |
| Sunflower | 2 | 6-8 leaf pairs, budding | 30,000 RON |
| Rapeseed | 2-3 | Autumn rosette, spring elongation, flowering | 30,000-45,000 RON |
When you need drone NDVI scanning
- March-April: winter crop assessment after dormancy, refertilization decisions
- May-June: water stress detection, foliar diseases, treatment zone delineation
- July: yield estimation, zone-based harvest planning
- September-October: post-seeding evaluation of winter crops, emergence uniformity check
- Anytime: after extreme weather events (hail, prolonged drought, floods) for damage documentation
Drone NDVI scanning does not replace the agronomist — it makes them 10 times more efficient. Instead of walking 200 ha and estimating by eye, the agronomist receives a millimeter-precision map and makes decisions with data, not intuition.
Frequently asked questions
Can the drone fly in cloudy weather?
Yes, with precautions. Multispectral sensors function correctly under clouds, provided illumination is relatively uniform (fully overcast sky is actually ideal — no shadows). The only limitations: active rain or wind exceeding 35 km/h. Unlike satellites, the drone is not blinded by clouds — it flies below them, at 50-80 m altitude.
How long does processing take?
Standard NDVI orthomosaic: 12-24 hours from flight. Full agronomic report with treatment recommendations: 24-48 hours. VRA maps exportable in ISOXML format: 48-72 hours (includes calibration and validation).
Does it work on small parcels (under 5 ha)?
Yes. The minimum order cost equals 10 ha (1,500 RON), regardless of actual area. For parcels of 5-10 ha, the per-hectare cost is higher, but the information value remains the same — a Fusarium outbreak on 2 ha of a 5 ha parcel costs just as much as on a 200 ha one.