- Cultivation specialist Floriculture
- Technical Sales Specialist - Canada
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Top 5 -yesterday
- “Jackfruit as a meat-replacement is a winning product”
- Kenya agriculture leaders set for first-of-its-kind summit to tackle sector challenges
- Brazilian ginger grows market share as low-volume Chinese season is expected
- Late grape season may provide some relief for some Australian exporters after coronavirus disruptions
- The number of containers with Chilean fruit stranded in China rises to 2,300
Top 5 -last week
- Coronavirus creates demand for New Zealand organic apples
- Tight avo market but Fuertes from Tzaneen will start picking up
- Chinese exports and imports feel the impact of coronavirus
- Avocado's water consumption is proportional to its nutritional value
- Saturated citrus market causes falling prices in US
Top 5 -last month
"UK: "Intelligent" potato processor for improved efficiency"
The team behind the project used off the shelf equipment coupled with some new software to create a system that is notable for its low cost. The resultant machine is able to spot defects, diseases and blemishes in real time and accepts different programming to allow it to differentiate different varieties of potato.
The project was carried out with the aid of the Potato Council who were looking for a machine to help the industry improve efficiency, speed and accuracy at the same time as lowering costs.
‘Most potatoes are still sorted by hand,’ Dr Tom Duckett, director of Lincoln’s Centre for Vision and Robotics Research, told The Engineer.
‘Problems with manual sorting include the subjectivity, fatigue and high cost of human inspectors, while currently deployed artificial-vision systems require manual calibration and have limited accuracy.’
The system comprises a low-cost vision sensor and standard desktop computer. This uses software that takes input from human experts to learn how to identify differences in colour and texture between blemished and unblemished skin in a specific sample.
To enable the software to deal with the large amounts of natural variation in the produce, the researchers created a machine-learning algorithm to automatically select good image features.
The other major challenge was enabling the system to work fast enough to analyse the potato in real time, as the original software took several hours for each image.
Duckett’s team is now seeking funding to commercialise the technology. ‘If the current funding bid is successful, we should see the first commercial systems being ready for market within the next three years,’ he said.
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Other news in this sector:
- 2020-02-19 Ultra Vision Hyperspectral camera system launched
- 2020-02-19 Danish supermarket expands vertical farming concept
- 2020-02-19 evokeAG. showcases some of Australia's brightest agritech startup companies
- 2020-02-18 Sell-out attendance as Asia Pacific’s premier agrifood tech event gets underway
- 2020-02-17 Miele offers solution for domestic vertical agriculture
- 2020-02-11 Worldwide Fruit to use pioneering Softripe technology
- 2020-02-06 DeltaTrak will present two new FlashLink PDF In-Transit Bluetooth Low Energy loggers
- 2020-02-06 Autogrow launches wireless smart sensor network into US$40 billion global greenhouse market
- 2020-02-06 Hapag-Lloyd launches remote reefer supply chain monitoring tool
- 2020-02-04 Human capital as a main resource for innovative processes
- 2020-01-31 Scientists develop 'metalloenzyme' biosensor for monitoring ethylene levels in fruits
- 2020-01-31 More internationality and even better traceability
- 2020-01-28 Lidl Denmark sells leftover fruit and vegetables with the help of food waste app
- 2020-01-27 "Advancing the coloring of fruits and vegetables helps producers"
- 2020-01-24 "Growing interest in our zipper"
- 2020-01-24 New innovation incubator drives supply chain technology solutions
- 2020-01-22 Transition from fossil-fuel-based plastics to recyclable or biodegradable
- 2020-01-22 Costa Group to develop 'Click and Collect service'
- 2020-01-21 Nissan tests use of electric vehicle for shipping strawberries
- 2020-01-20 "Spanish agricultural producers could reduce their water and fertilizer costs"