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

1 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
CountryChina
CityShihezi
Period5/06/178/06/17
Internet address

Fingerprint

disease detection
cameras
potatoes
Pectobacterium carotovorum
seed tubers
precision agriculture
Scotland
canopy
crops
unmanned aerial vehicles

Keywords

  • UAV
  • Potato
  • Blackleg
  • Disease

Cite this

Gibson-Poole, S., Humphris, S., Toth, I. K., & Hamilton, A. (2017). Potato disease detection using a UAV equipped with commercial off-the-shelf digital cameras. Poster session presented at Remote Sensing and Big Data for Precision Agriculture, Shihezi, China.
Gibson-Poole, S ; Humphris, Sonia ; Toth, Ian K ; Hamilton, A. / Potato disease detection using a UAV equipped with commercial off-the-shelf digital cameras. Poster session presented at Remote Sensing and Big Data for Precision Agriculture, Shihezi, China.1 p.
@conference{127cea2061274250832ff600824f2928,
title = "Potato disease detection using a UAV equipped with commercial off-the-shelf digital cameras",
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 istime 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 equippedwith commercial off-the-shelf (COTS) digital cameras?",
keywords = "UAV, Potato, Blackleg, Disease",
author = "S Gibson-Poole and Sonia Humphris and Toth, {Ian K} and A Hamilton",
year = "2017",
language = "English",
note = "Remote Sensing and Big Data for Precision Agriculture ; Conference date: 05-06-2017 Through 08-06-2017",
url = "https://www.hw.ac.uk/schools/engineering-physical-sciences/news/remote-sensing-big-data-precision-agriculture.htm",

}

Gibson-Poole, S, Humphris, S, Toth, IK & Hamilton, A 2017, 'Potato disease detection using a UAV equipped with commercial off-the-shelf digital cameras', Remote Sensing and Big Data for Precision Agriculture, Shihezi, China, 5/06/17 - 8/06/17.

Potato disease detection using a UAV equipped with commercial off-the-shelf digital cameras. / Gibson-Poole, S; Humphris, Sonia; Toth, Ian K; Hamilton, A.

2017. Poster session presented at Remote Sensing and Big Data for Precision Agriculture, Shihezi, China.

Research output: Contribution to conferencePoster

TY - CONF

T1 - Potato disease detection using a UAV equipped with commercial off-the-shelf digital cameras

AU - Gibson-Poole, S

AU - Humphris, Sonia

AU - Toth, Ian K

AU - Hamilton, A

PY - 2017

Y1 - 2017

N2 - 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 istime 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 equippedwith commercial off-the-shelf (COTS) digital cameras?

AB - 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 istime 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 equippedwith commercial off-the-shelf (COTS) digital cameras?

KW - UAV

KW - Potato

KW - Blackleg

KW - Disease

M3 - Poster

ER -

Gibson-Poole S, Humphris S, Toth IK, Hamilton A. Potato disease detection using a UAV equipped with commercial off-the-shelf digital cameras. 2017. Poster session presented at Remote Sensing and Big Data for Precision Agriculture, Shihezi, China.