- Grower Support Manager (Blueberries) - Harare, Zimbabwe
- Finance Director - Ukraine
- Sales Manager and Quality Assurance Supervisor
- Breeder (MSc) - Hann. Münden, Germany
- Buitendienst Medewerker - België
- Assistant Grower Manager Tomato & Capsicums - Malaysia Highlands
- Assistant Grower Manager Lettuce & Herbs - Malaysia Highlands
- Team Leader - Quarantine Greenhouse - Netherlands/German border area
- Trainee Production Management - starting location Ethiopia
- Сhief technologist, Tula region - Russia
Top 5 -yesterday
Top 5 -last week
Top 5 -last month
Spain: Artificial intelligence to Identify diseases in citrus
But the story is about to end, since new advances in artificial intelligence are reaching the citrus sector. Soon a photo will be enough, when sent to a system that can detected if the fruit is infected or not. This is the result of work carried out by experts at the Investigation Group for Signs and Computational Intelligence from the School of Engineering and Hydric Science in the National University of the Coast and CONICET.
According to Diego Milone, investigator in the team, the project is about the use of strong neural networks to process the spots in oranges or mandarines and determine if they belong to one of more than 20 quarantine worthy diseases that exist. For now, the idea is that producers can send an sms with the spots characteristics to a server so the neural network can say to which disease they belong. That way, they can determine what to do with the shipment.
The Experimental Station for Agro-Livestock Concordia - INTA has a lot of experience in the study of the three quarantine diseases affecting citrus: scabies, cancrosis and Dark Spot.
Observations of several characteristics in the sympthoms, like color, deepness, relief, among others, provides the information required to introduce to the intelligent system designed by the Milone team.
"With that data we feed a super visioned neural system, where we have elements to know which is the best way. The information from INTA gives us many examples that tell us to what kind of characteristics correspond to what disease. That way we can train the neural network. We tell it that when it sees that kind of color or relief, or texture, the way out must be "Dark Spot", for example. Then all the synapses are adjusted, so when that information gets in again, the neural network knows the correct way out", he said, adding that despite the training there will be cases of spots quite hard to interpret and they will need the opinion of an expert: "Although, this can be two of a hundred cases", he stated.
Publication date :
Receive the daily newsletter in your email for free | Click here
Other news in this sector:
- 2018-12-14 Spain: Disastrous citrus campaign in Murcia
- 2018-12-14 Turkey: Bumper citrus harvest in Cukurova
- 2018-12-14 Peru: "We only offer organic limes"
- 2018-12-14 New UF/IFAS citrus trial data available soon
- 2018-12-14 Egypt: Orange exports continuing to expand
- 2018-12-13 China: Will Shatang oranges avoid the unmarketable condition of Nanfeng tangerines?
- 2018-12-13 "Jaffa Orri is the best mandarin in the world"
- 2018-12-13 Finger lime: Looks and pops like caviar, tastes like lime
- 2018-12-13 China: Booming citrus industry lifts Guangxi villagers out of poverty
- 2018-12-13 “Rational regulation of shipments help Egypt's oranges in China's market”
- 2018-12-13 South Africa asks EU to relax controls on its citrus exports
- 2018-12-13 Spain: Government to support processing of citrus into juice to tackle price crisis
- 2018-12-12 Cambodia: Koh Trong cultivation of pomelos expanding
- 2018-12-12 Sicilian approach: Sustainability, authenticity and short supply chain
- 2018-12-12 Florida citrus crop shows untypical stability
- 2018-12-11 Micro-climate in Northern California makes for unique mandarin-growing area
- 2018-12-11 Spain: Citrus exports to non-EU countries down by 14%
- 2018-12-11 Spain: Union of Unions convenes meeting to address citrus crisis situation
- 2018-12-11 Grenada’s agriculture sector to tackle Citrus Greening
- 2018-12-11 Morocco expects record citrus yields in 2018-2019