Abstract
Abstract. The main objective of this study is to present a framework that efficiently locates the volunteer cotton plant in the Southern Texas cotton production regions, so as to reduce the time and economic costs of its removal. The GIS network analysis tool is applied to estimate the most likely routes for cotton transportation, and a GIS model is created to identify and visualize the potential area of volunteer cotton growth. The unmanned aerial vehicle (UAV) is proposed to scan and analyze the potential area in order to detect the precise location of the volunteer cotton plant for subsequent removal. In this study, the UAV only scanned limited samples of potential volunteer cotton growth areas due to budget constraints, the results of which are used to validate the outcome of the GIS model.
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