Potato disease detection using a UAV equipped with commercial off-the-shelf digital cameras

S Gibson-Poole, Sonia Humphris, Ian K Toth, A Hamilton

Research output: Contribution to conferencePoster

80 Downloads (Pure)

Abstract

Unmanned Aerial Vehicles (UAV) have become useful and affordable research tools that show great promise for a variety of precision agriculture applications due to the unique aerial prospective they can provide (Shahbazi et al. 2014). In Scotland Blackleg disease is largely caused by Pectobacterium atrosepticum (Pba), via contaminated seed tubers (Skelsey et al. 2016). Worldwide, blackleg disease is a major contributor to the loss of potato crops and checking for its presence is
time consuming and can inadvertently damage the crop canopy. Therefore this project was initiated to answer the question:
❖ Can the onset of black disease be detected using a UAV equipped
with commercial off-the-shelf (COTS) digital cameras?
Original languageEnglish
Number of pages1
Publication statusPrint publication - 2017
EventRemote Sensing and Big Data for Precision Agriculture - Shihezi University, Shihezi, China
Duration: 5 Jun 20178 Jun 2017
https://www.hw.ac.uk/schools/engineering-physical-sciences/news/remote-sensing-big-data-precision-agriculture.htm

Workshop

WorkshopRemote Sensing and Big Data for Precision Agriculture
Country/TerritoryChina
CityShihezi
Period5/06/178/06/17
Internet address

Keywords

  • UAV
  • Potato
  • Blackleg
  • Disease

Fingerprint

Dive into the research topics of 'Potato disease detection using a UAV equipped with commercial off-the-shelf digital cameras'. Together they form a unique fingerprint.

Cite this