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?
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 language | English |
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Number of pages | 1 |
Publication status | Print publication - 2017 |
Event | Remote Sensing and Big Data for Precision Agriculture - Shihezi University, Shihezi, China Duration: 5 Jun 2017 → 8 Jun 2017 https://www.hw.ac.uk/schools/engineering-physical-sciences/news/remote-sensing-big-data-precision-agriculture.htm |
Workshop
Workshop | Remote Sensing and Big Data for Precision Agriculture |
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Country/Territory | China |
City | Shihezi |
Period | 5/06/17 → 8/06/17 |
Internet address |
Keywords
- UAV
- Potato
- Blackleg
- Disease