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Neri I, Caponi S, Bonacci F, Clementi G, Cottone F, Gammaitoni L, Figorilli S, Ortenzi L, Aisa S, Pallottino F, Mattarelli M. Real-Time AI-Assisted Push-Broom Hyperspectral System for Precision Agriculture. SENSORS (BASEL, SWITZERLAND) 2024; 24:344. [PMID: 38257437 PMCID: PMC10820832 DOI: 10.3390/s24020344] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/30/2023] [Revised: 01/02/2024] [Accepted: 01/04/2024] [Indexed: 01/24/2024]
Abstract
In the ever-evolving landscape of modern agriculture, the integration of advanced technologies has become indispensable for optimizing crop management and ensuring sustainable food production. This paper presents the development and implementation of a real-time AI-assisted push-broom hyperspectral system for plant identification. The push-broom hyperspectral technique, coupled with artificial intelligence, offers unprecedented detail and accuracy in crop monitoring. This paper details the design and construction of the spectrometer, including optical assembly and system integration. The real-time acquisition and classification system, utilizing an embedded computing solution, is also described. The calibration and resolution analysis demonstrates the accuracy of the system in capturing spectral data. As a test, the system was applied to the classification of plant leaves. The AI algorithm based on neural networks allows for the continuous analysis of hyperspectral data relative up to 720 ground positions at 50 fps.
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Affiliation(s)
- Igor Neri
- Department of Physics and Geology, University of Perugia, Via A. Pascoli, 06123 Perugia, Italy
| | - Silvia Caponi
- Materials Foundry (IOM-CNR), National Research Council, c/o Department of Physics and Geology, Via A. Pascoli, 06123 Perugia, Italy
| | - Francesco Bonacci
- Department of Physics and Geology, University of Perugia, Via A. Pascoli, 06123 Perugia, Italy
| | - Giacomo Clementi
- Department of Physics and Geology, University of Perugia, Via A. Pascoli, 06123 Perugia, Italy
| | - Francesco Cottone
- Department of Physics and Geology, University of Perugia, Via A. Pascoli, 06123 Perugia, Italy
| | - Luca Gammaitoni
- Department of Physics and Geology, University of Perugia, Via A. Pascoli, 06123 Perugia, Italy
| | - Simone Figorilli
- Consiglio per la Ricerca in Agricoltura e l’Analisi Dell’Economia Agraria (CREA)—Centro di Ricerca Ingegneria e Trasformazioni Agroalimentari, Via della Pascolare 16, Monterotondo, 00015 Rome, Italy
| | - Luciano Ortenzi
- Consiglio per la Ricerca in Agricoltura e l’Analisi Dell’Economia Agraria (CREA)—Centro di Ricerca Ingegneria e Trasformazioni Agroalimentari, Via della Pascolare 16, Monterotondo, 00015 Rome, Italy
- Department of Agriculture and Forest Sciences (DAFNE), Tuscia University, Via S. Camillo De Lellis, Via Angelo Maria Ricci, 35a-02100 Rieti, 01100 Viterbo, Italy
| | - Simone Aisa
- Materials Foundry (IOM-CNR), National Research Council, c/o Department of Physics and Geology, Via A. Pascoli, 06123 Perugia, Italy
| | - Federico Pallottino
- Consiglio per la Ricerca in Agricoltura e l’Analisi Dell’Economia Agraria (CREA)—Centro di Ricerca Ingegneria e Trasformazioni Agroalimentari, Via della Pascolare 16, Monterotondo, 00015 Rome, Italy
| | - Maurizio Mattarelli
- Department of Physics and Geology, University of Perugia, Via A. Pascoli, 06123 Perugia, Italy
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