Artificial intelligence for yield estimations at fruit orchards

Project description

Computers to count crops

Fields of science

• natural sciences › computer and information sciences › artificial intelligence
• agricultural sciences › agriculture, forestry, and fisheries › agriculture › agronomy › plant protection
• natural sciences › biological sciences › zoology › mammalogy › cetology
• agricultural sciences › agriculture, forestry, and fisheries › agriculture › horticulture › fruit growing
• engineering and technology › electrical engineering, electronic engineering, information engineering › electronic engineering › sensors

Programme(s)

• H2020-EU.2.3. - INDUSTRIAL LEADERSHIP - Innovation In SMEs Main Programme
• H2020-EU.3. - PRIORITY 'Societal challenges
• H2020-EU.2.1. - INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies

Topic(s)

• EIC-SMEInst-2018-2020 - SME instrument

Call for proposal

H2020-EIC-SMEInst-2018-2020

See other projects for this call

Sub call

H2020-SMEInst-2018-2020-1

Funding Scheme

SME-1 - SME instrument phase 1

Coordinator

CODESIAN SOFTWARE TECH SL

Net EU contribution

€ 50 000,00

Address

Cl Del Naranjo 6 4 44
42190 Golmayo (Soria)
Spain

Region

Castilla y León › Soria

Activity type

Private for-profit entities (excluding Higher or Secondary Education Establishments)

Links

Other funding

€ 21 429,00