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Information System for Agriculture and Food Research

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Projects of the framework "BMEL - Digitalization in Agriculture"

Collaborative project: AI-driven Platform for Plant Seed Classification and Sorting: Assessment of Seed Purity in the Scope of Oilseedrape - subproject C (KiRa)

Project code: 28DK116C20
Excutive institution: University of Applied Sciences Bielefeld
Contract period: 2021 - 2024

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Collaborative Project: AI-supported optimization of the application of NIR/MIR sensors in agriculture - subproject A (KIO-Sens)

Project code: 28DK112A20
Excutive institution: LKS-Landwirtschaftliche Kommunikations- und Servicegesellschaft mbH
Contract period: 2021 - 2024

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Collaborative project: AI-supported optimization of the application of NIR/MIR sensors in agriculture - subproject B (KIO-Sens)

Project code: 28DK112B20
Excutive institution: University of Applied Sciences Mittweida
Contract period: 2021 - 2024

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Collaborative project: An agricultural experimental field for implementation of digital technologies for crop protection. Subproject 1 (FarmerSpace)

Project code: 28DE104A18
Excutive institution: Institute of Sugar Beet Research
Contract period: 2020 - 2025

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Collaborative project: An agricultural experimental field for implementation of digital technologies for crop protection. Subproject 2 (FarmerSpace)

Project code: 28DE104B18
Excutive institution: Section of Agricultural Engeneering
Contract period: 2020 - 2025

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Collaborative project: An agricultural experimental field for implementation of digital technologies for crop protection. Subproject 3 (FarmerSpace)

Project code: 28DE104C18
Excutive institution: Advanced System Technology (AST) Branch of Fraunhofer IOSB
Contract period: 2020 - 2025

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Collaborative project: An agricultural experimental field for implementation of digital technologies for crop protection. Subproject 4 (FarmerSpace)

Project code: 28DE104D18
Excutive institution: Landwirtschaftskammer Niedersachsen
Contract period: 2020 - 2025

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Collaborative project: An AI-based, resource-efficient approach using multiple genome and phenome data to introduce novel alleles into barley breeding - TP MLU - subproject A (HEB-KI)

Project code: 28DK117A20
Excutive institution: University of Halle-Wittenberg
Contract period: 2021 - 2024

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Collaborative project: An AI-based, resource-efficient approach using multiple genome and phenome data to introduce novel alleles into barley breeding - TP MLU - subproject B (HEB-KI)

Project code: 28DK117B20
Excutive institution: Computomics GmbH
Contract period: 2021 - 2024

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Collaborative project: Aphid Identification by Artificial Intelligence - subproject A (AI2)

Project code: 28DK106A20
Excutive institution: Federal Research Centre for Cultivated Plants – Julius Kühn-Institut
Contract period: 2021 - 2024

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