Field Track LLC

SimpleSense

Our research-grade analysis pipeline delivers precise field insights designed to meet the rigorous demands of academic and industry research. We collect and process aerial imagery that seamlessly integrates into your existing projects, enabling data-driven decisions.

1. Trial Layout

Create spatially consistent plot zones for your current trial.

An example of a small plot research trial

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Cropping System

Crop TypeCorn
CultivarBeck 6365AM
Seed Rate31000 seeds/acre
Planting Date4/18/2024

Study Area

12
Treatments
4
Replications
48
Total Plots
10'x40'
Plot Size

Treatment Variables

Products
Product A
Product B
Product C
Application Timing
Time 1: Early
Time 2: Mid
Time 3: Late
Time 4: Final

2. Data Acquisition

Equipment Overview

An advanced multispectral and RGB integrated imaging system equipped with a 20MP RGB camera and four 5MP multispectral cameras (covering green, red, red edge, and near-infrared wavelengths). This innovative setup supports a range of precision applications, including high-resolution aerial surveys, detailed crop growth analysis, and plot-level monitoring.

20MP
RGB Camera
1/2000s
Shutter Speed
4x 5MP
Spectral Sensors
RTK
Positioning

Spectral Bands

NIR860 nm ± 26 nm
Red Edge730 nm ± 16 nm
Red650 nm ± 16 nm
Green560 nm ± 16 nm

Flight Parameters

Flight Height76.2 m
Image Count229
Duration~36 min

Quality Metrics

Image Overlap80%
GSD Achieved3.0 cm/px
Coverage100%

Ground Control

GCP Network

5 points strategically placed for precise georeferencing

Horizontal± 2cm
Vertical± 3cm

Weather Conditions

70°F
Temperature
3.2 mph
Wind Speed
15%
Cloud Cover
65°
Solar Angle

Mission Planning

Flight Pattern
Double Grid
90° Crosshatch
Front Overlap: 80%
Side Overlap: 75%
Timing
Solar Noon ±2h
Clear Sky
Low Wind
Optimal Light

3. Image Processing & Analysis

Image Processing

Radiometric Processing

Sensor calibration for precise spectral measurements

Spatial Referencing

High-precision georeferencing with multiple positioning technologies

Image Integration

Multi-sensor data fusion and visualization

Statistical Analysis

Advanced statistical modeling to identify significant differences between treatment groups, enabling data-driven decision making.

Variance Analysis

Isolate treatment effects from environmental factors

Treatment Evaluation

Comparative analysis to identify patterns and relationships

Temporal Analysis

Multi-level confidence intervals with temporal variation

4. Visualization and Reporting

Multispectral Imagery

Interactive visualization of vegetation indices across different growth stages. Toggle between the layers with the controls in the top right.

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5. Treatment Performance Analysis

NDVI Progression Across Growth Stages

This visualization shows the temporal progression of NDVI values for different treatments throughout the growing season. Tracking these patterns helps identify which treatments perform best at each crop development stage.

Report Generation

We make remote sensing data easy to use, providing clear insights that integrate seamlessly with your existing datasets. Our reports include everything you need to support your research, from datasets in your preferred format to ready-to-use figures and tables for publications.