HYPERSPECTRAL IMAGES FOR INSPECTING WOOD AND FRUITS (Q2022699): Difference between revisions
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(Created claim: summary (P836): HYPERSPECTRAL (HI) IMAGERY, SUCH AS DEEP LEARNING, ARE IMPORTANT RESEARCH THEMES FOR BOTH THE RESEARCH WORLD AND THAT OF YOUR INDUSTRY, PERCHÊ THESE TECHNOLOGIES ARE POTENTIALLY APPLICABLE IN A NUMBER OF AREAS. ONE OF THE OBJECTIVES OF THE PROJECT IS TO CREATE SPECIFIC KNOW-HOW ON THE TERRITORY OF ALTO ADIGE AND TO BECOME A POINT OF REFERENCE FOR THESE ISSUES.\ NARRIVARE TO DEFINE AN IMAGE PROCESSING TECHNOLOGY WITH L OF DEEP LEARNING DEEP LEA...) |
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| Property / summary | |||
HYPERSPECTRAL (HI) IMAGERY, SUCH AS DEEP LEARNING, ARE IMPORTANT RESEARCH THEMES FOR BOTH THE RESEARCH WORLD AND THAT OF YOUR INDUSTRY, PERCHÊ THESE TECHNOLOGIES ARE POTENTIALLY APPLICABLE IN A NUMBER OF AREAS. ONE OF THE OBJECTIVES OF THE PROJECT IS TO CREATE SPECIFIC KNOW-HOW ON THE TERRITORY OF ALTO ADIGE AND TO BECOME A POINT OF REFERENCE FOR THESE ISSUES.\ NARRIVARE TO DEFINE AN IMAGE PROCESSING TECHNOLOGY WITH L OF DEEP LEARNING DEEP LEARNING THAT IS CAPABLE OF PRODUCING RESULTS THAT NO PRODUCT ON THE ÃS MARKET IS STILL ABLE TO PRODUCE, Ê A CHALLENGING OBJECTIVE AS WELL AS HAVING A HIGH SCIENTIFIC INTEREST.\ NLA PART OF THE HARDWARE DEVELOPMENT PART MUST TAKE INTO ACCOUNT: (1) THE CHOICE AND INTEGRATION OF A HYPERSPECTRAL SENSOR COVERING SPECTRUM FROM 900 TO 1700 NM 2) THE DESIGN OF A LIGHT SOURCE WITH AN ADAPTABLE PROFILE. (English) | |||
| Property / summary: HYPERSPECTRAL (HI) IMAGERY, SUCH AS DEEP LEARNING, ARE IMPORTANT RESEARCH THEMES FOR BOTH THE RESEARCH WORLD AND THAT OF YOUR INDUSTRY, PERCHÊ THESE TECHNOLOGIES ARE POTENTIALLY APPLICABLE IN A NUMBER OF AREAS. ONE OF THE OBJECTIVES OF THE PROJECT IS TO CREATE SPECIFIC KNOW-HOW ON THE TERRITORY OF ALTO ADIGE AND TO BECOME A POINT OF REFERENCE FOR THESE ISSUES.\ NARRIVARE TO DEFINE AN IMAGE PROCESSING TECHNOLOGY WITH L OF DEEP LEARNING DEEP LEARNING THAT IS CAPABLE OF PRODUCING RESULTS THAT NO PRODUCT ON THE ÃS MARKET IS STILL ABLE TO PRODUCE, Ê A CHALLENGING OBJECTIVE AS WELL AS HAVING A HIGH SCIENTIFIC INTEREST.\ NLA PART OF THE HARDWARE DEVELOPMENT PART MUST TAKE INTO ACCOUNT: (1) THE CHOICE AND INTEGRATION OF A HYPERSPECTRAL SENSOR COVERING SPECTRUM FROM 900 TO 1700 NM 2) THE DESIGN OF A LIGHT SOURCE WITH AN ADAPTABLE PROFILE. (English) / rank | |||
Normal rank | |||
Revision as of 08:19, 23 March 2020
Project in Italy financed by DG Regio
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | HYPERSPECTRAL IMAGES FOR INSPECTING WOOD AND FRUITS |
Project in Italy financed by DG Regio |
Statements
176,155.27 Euro
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352,310.54 Euro
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50.0 percent
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17 January 2019
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16 July 2021
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LIBERA UNIVERSITA' DI BOLZANO
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46°42'57.10"N, 11°39'24.70"E
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LE IMMAGINI IPERSPETTRALI (HI), COSì COME IL DEEP LEARNING, SONO TEMATICHE DI RICERCA IMPORTANTI SIA PER IL MONDO DELLA RICERCA CHE PER QUELLO DELL¿INDUSTRIA, PERCHÊ QUESTE TECNOLOGIE SONO POTENZIALMENTE APPLICABILI IN DIVERSI SETTORI. UNO DEGLI OBIETTIVI DEL PROGETTO Ê CREARE KNOW HOW SPECIFICO SUL TERRITORIO ALTOATESINO E DIVENTARE UN PUNTO DI RIFERIMENTO PER TALI TEMI.\NARRIVARE A DEFINIRE UNA TECNOLOGIA DI IMAGE PROCESSING CON L¿USO DI DEEP LEARNING ROBUSTA ED AFFIDABILE, IN GRADO DI GENERARE RISULTATI CHE NESSUN PRODOTTO SUL MERCATO Ê ANCORA IN GRADO DI PRODURRE, Ê UN OBIETTIVO SFIDANTE TANTO QUANTO DI ALTO INTERESSE SCIENTIFICO.\NLA PARTE DI SVILUPPO HARDWARE DEVE TENERE IN CONSIDERAZIONE: 1) LA SCELTA E INTEGRAZIONE DI UN SENSORE IPERSPETTRALE CHE COPRE LO SPETTRO DAI 900 AI 1700NM 2) IL DESIGN DI UNA SORGENTE LUMINOSA CON UN PROFILO ADATTABILE.\NINOLTRE, MOLTO SFIDANTE RISULTA ESSERE LA NECESSITà DI INTEGRAZIONE DEL SISTEMA, DAL MOMENTO CHE ESSO COMPRENDE COMPONENTI HAR (Italian)
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HYPERSPECTRAL (HI) IMAGERY, SUCH AS DEEP LEARNING, ARE IMPORTANT RESEARCH THEMES FOR BOTH THE RESEARCH WORLD AND THAT OF YOUR INDUSTRY, PERCHÊ THESE TECHNOLOGIES ARE POTENTIALLY APPLICABLE IN A NUMBER OF AREAS. ONE OF THE OBJECTIVES OF THE PROJECT IS TO CREATE SPECIFIC KNOW-HOW ON THE TERRITORY OF ALTO ADIGE AND TO BECOME A POINT OF REFERENCE FOR THESE ISSUES.\ NARRIVARE TO DEFINE AN IMAGE PROCESSING TECHNOLOGY WITH L OF DEEP LEARNING DEEP LEARNING THAT IS CAPABLE OF PRODUCING RESULTS THAT NO PRODUCT ON THE ÃS MARKET IS STILL ABLE TO PRODUCE, Ê A CHALLENGING OBJECTIVE AS WELL AS HAVING A HIGH SCIENTIFIC INTEREST.\ NLA PART OF THE HARDWARE DEVELOPMENT PART MUST TAKE INTO ACCOUNT: (1) THE CHOICE AND INTEGRATION OF A HYPERSPECTRAL SENSOR COVERING SPECTRUM FROM 900 TO 1700 NM 2) THE DESIGN OF A LIGHT SOURCE WITH AN ADAPTABLE PROFILE. (English)
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Identifiers
I56C19000100009
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