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ARS Home » Plains Area » College Station, Texas » Southern Plains Agricultural Research Center » Aerial Application Technology Research » Research » Publications at this Location » Publications at this Location

Publications at this Location

ARS scientists publish results of their research projects in many formats. Listed below are the publications from research projects conducted at this location.

Clicking on a publication title will take you to more information on the publication. Clicking on the reprint icon Repository URL will take you to the publication reprint.

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2022 Publications
(listed by order of acceptance date)

Current View: All Publications

Show All Publications || Peer Reviewed Journal Publications Only

Displaying 1 to 10 of 10 Records

Detecting volunteer cotton plants in a corn field with deep learning on UAV remote-sensing imagery Reprint Icon
(Peer Reviewed Journal)
(3-Dec-22)
Herbicide spray drift from ground and aerial applications: Implications for potential pollinator foraging sources Reprint Icon
(Peer Reviewed Journal)
(20-Oct-22)
The physics of spray droplets released from ag aircraft
(Popular Publication)
(26-Sep-22)
The physics of spray droplets released from ag aircraft
(Popular Publication)
(26-Sep-22)
Insecticidal management of rangeland grasshoppers using a remotely piloted aerial application system Reprint Icon
(Peer Reviewed Journal)
(1-Sep-22)
Payload capacities of remotely piloted aerial application systems affect spray pattern and effective swath Reprint Icon
(Peer Reviewed Journal)
(9-Aug-22)
Panicle Ratio Network: Streamlining rice panicle measurement by deep learning with ultra-high-definition aerial images in the field
(Peer Reviewed Journal)
(30-Jun-22)
A novel composite vegetation index including solar-induced chlorophyll fluorescence for seedling rapeseed net photosynthesis rate retrieval Reprint Icon
(Peer Reviewed Journal)
(2-May-22)
Gap optimization of electrostatic aerial spray nozzles for low-speed aircraft Reprint Icon
(Peer Reviewed Journal)
(16-Mar-22)
Winter wheat nitrogen estimation based on ground-level and UAV-mounted sensors Reprint Icon
(Peer Reviewed Journal)
(7-Jan-22)