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Can Drone Imagery Replace Visual Stand Density Assessment?

Extension Education

Kalan Taylor
Agriculture and Natural Resources Agent
UF/IFAS Extension Volusia County
Deland

Abstract

Bahia is one of the most utilized forages in Florida. Previous work demonstrated a highly significant difference between treatments. Establishment trails were established in 2020 to see whether incorporating browntop millet was advantageous were done in 2020. Methods: This was completely randomized black design with three replications at 30 square meters each for a total of 12 plots. The plots were evaluated three different evaluation methods: 1. using human estimation of ground coverage of bahia; 2. utilizing enhanced normalized difference vegetative index (endvi); and 3. thermal images from a drone. Results: The plant health algorithm that best highlighted the bahia was the endvi with spectral reverse. Conclusion: While drone images are useful to identify places of concern in pastures using endvi, it does not yield reliable results for estimating percent forage coverage when compared to a visual assessment. Thermal images, likewise, do not correlate to the visual assessment.

Poster has NOT been presented at any previous NACAA AM/PIC

This poster is being submitted for judging. It will be displayed at the AM/PIC if not selected as a State winner. The abstract will be published in the proceedings.

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Authors: Kalan Taylor, Stacy Strickland
  1. Taylor, K. Agriculture and Natural Resources Agent, UF/IFAS Extension, Florida, 32724
  2. Strickland, S. County Extension Director and Agriculture Agent, UF/IFAS Extension, Florida, 34744