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Artificial intelligence for yield estimations at fruit orchards

Project description

Computers to count crops

Crop yield estimation is a central function in fruit production since it determines the part of the crop that is suitable for consumption and commercialisation. Yield estimation, which is crucial for apple production, needs to be reliable, quick and cost-effective. Today, fruit is counted manually by farm workers. Not only does this take a lot of time, but accuracy cannot be guaranteed especially for large yields. The EU-funded AGERPIX project is developing a solution based on artificial intelligence algorithms. It aims to offer reliable and fast predictions while considerably reducing operation and management costs. It provides growers with information on the size and quality of fruits and yield production. It calculates the labour force needed and offers logistical planning.

Field of science

  • /natural sciences/biological sciences/zoology/mammalogy/cetology
  • /natural sciences/computer and information sciences/artificial intelligence
  • /agricultural sciences/agriculture, forestry, and fisheries/agriculture/horticulture/fruit

Call for proposal

H2020-SMEInst-2018-2020-1
See other projects for this call

Funding Scheme

SME-1 - SME instrument phase 1

Coordinator

CODESIAN SOFTWARE TECH SL
Address
Cl Del Naranjo 6 4 44
42190 Golmayo (Soria)
Spain
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
EU contribution
€ 50 000