Best Practices for NDVI Crop Health Sensors – A White Paper

NDVI Sensors | Sentera | Precision Ag | Crop Health Sensors

04 May Best Practices for NDVI Crop Health Sensors – A White Paper

NDVI Sensors: Knowing Where to Start

Unmanned aircraft (drones) have become a popular and effective tool for monitoring vegetation, analyzing crop health, and predicting yields. Within minutes, NDVI sensors can be used to collect overhead imagery of fields to provide actionable data to the grower. If the NDVI crop health imagery is accurate and used properly, it can produce significant savings and increased yields for growers. However, with a large number of agriculture-related drone products on the market, it can be difficult to compare capabilities and determine which systems provide the most accurate and reliable data.

Best Practices — What to Look For

This white paper focuses on NDVI sensors, investigating a common deficiency of many of these drone systems and highlights what features should be sought when selecting a system or camera.

In this white paper you’ll learn about:

  • Vegetative Health Indices
  • Commercial Sensors
  • Camera Modifications
  • How NDVI is calculated
  • The source of errors
  • Precision filtering

 

Now is the Time

As we enter the 2017 North American growing season, now is the time to gain insight and understand what to look for when selecting a NDVI sensor.

If you have any questions or would like to discuss specific solutions, we’d love to hear from you! Email us or call 844-SENTERA (736-8372).

Download White Paper

 


Written by Ryan Nelson, Chief Mechanical Engineer

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