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Click on “Download PDF” for the PDF version or on the title for the HTML version. If you are not an ASABE member or if your employer has not arranged for access to the full-text, Click here for options. Volunteer Cotton Habitat Prediction Model and Detection with UAV Remote SensingPublished by the American Society of Agricultural and Biological Engineers, St. Joseph, Michigan www.asabe.org Citation: 2020 ASABE Annual International Virtual Meeting 2000219.(doi:10.13031/aim.202000219)Authors: Tianyi Wang, Xiaohan Mei, J. Alex Thomasson, Xiongzhe Han, Pappu Kumar Yadav Keywords: UAV, remote sensing, feral cotton, volunteer cotton, habitat, prediction model, detection, image analysis 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. (Download PDF) (Export to EndNotes)
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