- Sales Manager / Director - West Coast primary, USA
- Medewerker productmanagement support - Bleiswijk
- Head grower & Indoor farming-/hydroponic specialist - Küssnacht am Rigi, Switzerland
- Technical Director - Addis Ababa, Ethiopia
- Onderzoekassistent Fenotyperen - Bleiswijk
- Horticultural Soil Sales Representative - USA
- Turnkey Vegetable Greenhouse Sales Representative - USA
- Sales Administrator - Europe Division
- Junior Sales Manager - Europe Division
- Head Grower - Avoine, France
Top 5 -yesterday
Top 5 -last week
Top 5 -last month
- South Africa issues notice of termination of some citrus exports to the EU
- Ozone brings MRLs of fungicides and pesticides down within limits
- OVERVIEW GLOBAL POMEGRANATE MARKET
- "Disappointing period for mandarins recently, no stocks of oranges"
- “North American blueberry industry needs to innovate to become competitive”
"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.
Receive the daily newsletter in your email for free | Click here
Other news in this sector:
- 2020-09-18 The launch of innovations in the European market increased by 46% during the lockdown
- 2020-09-17 The future of deliveries?
- 2020-09-16 South Africa: Digital solutions to help tackle fall armyworm
- 2020-09-16 Fruit firmness as a maturity indicator improves product quality
- 2020-09-16 Chinese robot restaurant
- 2020-09-14 Australian hort exports to China are the focus of traceability project
- 2020-09-14 Mushrooms as an alternative to conventional pesticides
- 2020-09-11 Helping crops fight off smoke, rain and too much sun
- 2020-09-11 SYNCROFLOW® spray technology: Better deposition while reducing drift & run-off
- 2020-09-10 “Our drones can deliver orders within 3 minutes from shops directly to consumers”
- 2020-09-10 Iron Ox raises $20 million in Series B funding
- 2020-09-09 UK: New partnership to deliver digital tools to boost viticulture sector
- 2020-09-04 China: Binhe New District agrivoltaic project
- 2020-09-01 First controllable and transportable irrigation water treatment system installed
- 2020-08-28 An Israeli company developed a method to plant seeds in saline soils
- 2020-08-28 New Zealand company launches a new, cheaper method of removing ethylene from cold stores
- 2020-08-28 Reducing claims through improved cold air flow within a reefer container
- 2020-08-19 University of Otago researcher finds use for food waste
- 2020-08-18 Mucci Farms launches podcast
- 2020-08-18 Nigeria: Agriple increases growers’ margins through greater market access