Theses and Dissertations

ORCID

https://orcid.org/0000-0003-1199-1420

Issuing Body

Mississippi State University

Advisor

Musser, Fred R.

Committee Member

Catchot, Angus L.

Committee Member

Wasson, Louis

Date of Degree

8-9-2022

Document Type

Graduate Thesis - Open Access

Major

Entomology

Degree Name

Master of Science (M.S.)

College

College of Agriculture and Life Sciences

Department

Department of Biochemistry, Molecular Biology, Entomology and Plant Pathology

Abstract

To overcome some limitations of manual insect sampling in soybeans, an unmanned aerial vehicle (UAV) sampling platform was developed that could collect insects in a sweep net attached to the bottom of a UAV. Before this UAV sampling platform can be used to make management decisions, correlations with manual sweep net and/or drop cloth sampling methods are needed. This will allow action thresholds for the various pests to be calculated for the UAV sampling platform. To make the correlations, 87 soybean fields were sampled during 2020 and 2021 with each of 4 sampling methods, a UAV travelling 50-m, the same UAV travelling 25-m, 25 manual sweeps with sweep net, and a 1.5-row-m sample on a drop cloth. Data were compiled for 12 insect pests of soybeans in 5 families. Significant positive correlations between all sampling methods showed that all methods were useful for sampling all the insects of interest.

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Entomology Commons

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