Sustainable Soil Management Decision Support System in Viticulture
Sector: Raw Materials • Location: Spain, Germany, Greece, Italy, Netherlands, Luxembourg
Source: EU Funding & Tenders Portal
Soil erosion and degradation pose significant threats to agricultural sustainability, food security, and economic stability. Despite awareness, conservation measures are often neglected due to barriers such as cost and information gaps. Addressing these challenges requires multidisciplinary approaches integrating scientific research, stakeholder engagement, and technological innovation. The projec
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Participants
Sponsoring Agency | Obfuscated Data |
Company | Obfuscated Data |
Status
Original status | ongoing |
Taiyo status | Obfuscated Data |
Taiyo last update | 00-00-0000 |
Available timestamps | 00-00-0000 |
Available timestamp type | Obfuscated Data |
Contact
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Address | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Description
Description | Soil erosion and degradation pose significant threats to agricultural sustainability, food security, and economic stability. Despite awareness, conservation measures are often neglected due to barriers such as cost and information gaps. Addressing these challenges requires multidisciplinary approaches integrating scientific research, stakeholder engagement, and technological innovation. The project aims to develop comprehensive soil erosion models, understand stakeholders' perceptions, and create a decision support system (DSS) for vineyard management. The objectives include developing innovative solutions, enhancing soil health, mitigating erosion risk, understanding social factors, and promoting sustainable practices. The project emphasizes multidisciplinary integration and knowledge transfer, leveraging advances in artificial intelligence, big data analytics, and cloud computing to address the impacts of climate change and promote agricultural ecosystem conservation. The proposal will be developed by 11 partners from 6 European countries, with 6 academic organizations, 4 SMEs and one no-profit organization with different backgrounds. |
Original sub-sector | Obfuscated |
Original Currency | USD |
Original budget | 000000000000000 |
Procurement method | Obfuscated Data |
Budget | 000000000000000 |
Location
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Source
Source reliability | High |
Data quality score | 100% |
Source | Obfuscated Data |
URL | obfuscated_data,obfuscateddata.com |
More Details
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