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on conventional yellow sticky traps. MANIFESTO team will explore advanced and modern Deep Learning (DL) architectures to develop an accurate model for detection and classification. Moreover, the project aims
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to bolster the adoption of CFA, by coming up with new business models for the agrofood industry that would take into account carbon sequestration, by bringing together policy makers and civil society, all
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ACP’s captured instances on conventional yellow sticky traps. MANIFESTO team will explore advanced and modern Deep Learning (DL) architectures to develop an accurate model for detection and classification
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Optimization models) applications and other tools or services as part of ERATOSTHENES responsibilities in Pharos-CY; Contribute to the preparation and submission of Pharos-CY deliverables and other technical