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Search for: KXIuwvTSAiQRglGwqAlcKGDErYGPtnMlNcCblYGeDQvskQk24pMb58jHGnkCvgEh, 10 of 887 ResultsSorting
Relevancy: 3%
P0st harvest losses mitigation by improved plant healing (Project)
The aim of the PHEALING project is to unlock the chemical and genetic potential of plant healing in the crop plants tomato, potato and cassava in order to use this natural process to reduce post-harvest food losses in locally preferred cultivars and other crop species as well. Many post-harvest losses originate from plant tissue damage or injury. Plants respond to such wounding with a complex...
Funding period: 2021 - 2024
Relevancy: 33%
Collaborative project: Dynamic agricultural weather indicators for extreme weather prediction in agriculture with methods of artificial intelligence and machine learning (AI/ML) - subproject D (Project)
... or machine learning (AI/ML). The project is implemented using the example of the extreme weather situations...
Funding period: 2021 - 2024
Relevancy: 33%
Collaborative project: Dynamic agricultural weather indicators for extreme weather prediction in agriculture with methods of artificial intelligence and machine learning (AI/ML) - subproject E (Project)
... or machine learning (AI/ML). The project is implemented using the example of the extreme weather situations...
Funding period: 2021 - 2024
Relevancy: 33%
Collaborative project: Dynamic agricultural weather indicators for extreme weather prediction in agriculture with methods of artificial intelligence and machine learning (AI/ML) - subproject B (Project)
... or machine learning (AI/ML). The project is implemented using the example of the extreme weather situations...
Funding period: 2021 - 2024
Relevancy: 33%
Collaborative project: Dynamic agricultural weather indicators for extreme weather prediction in agriculture with methods of artificial intelligence and machine learning (AI/ML) - subproject C (Project)
... or machine learning (AI/ML). The project is implemented using the example of the extreme weather situations...
Funding period: 2021 - 2024
Relevancy: 33%
Collaborative project: Dynamic agricultural weather indicators for extreme weather prediction in agriculture with methods of artificial intelligence and machine learning (AI/ML) - subproject A (Project)
... or machine learning (AI/ML). The project is implemented using the example of the extreme weather situations...
Funding period: 2021 - 2024
Relevancy: 17%
Development of a signal-enhanced immuno-capture amplification for the rapid detection of the quarantine pathogen Candidatus Phytoplasma vitis and the regulated non-quarantine pathogens Candidatus Phytoplasma mali and Candidatus Phytoplasma pyri (Project)
... be developed which is directed against the frequently occurring membrane protein IMP, or VMP for Ca. P. vitis....
Funding period: 2021 - 2024
Relevancy: 36%
Collaborative Project: Artificial intelligence as a basis for future plant breeding using big data - subproject A (Project)
... extracted on the basis of ML will then be used to optimise different breeding processes in the sense...
Funding period: 2021 - 2024
Relevancy: 36%
Collaborative project: Artificial intelligence as a basis for future plant breeding using big data - subproject B (Project)
... extracted on the basis of ML will then be used to optimise different breeding processes in the sense...
Funding period: 2021 - 2024
Relevancy: 36%
Collaborative Project: Artificial intelligence as a basis for future plant breedingbig data - subproject C using (Project)
... extracted on the basis of ML will then be used to optimise different breeding processes in the sense...
Funding period: 2021 - 2024
