This study is set within the context of the growing need for effective and sustainable monitoring systems for the management of agricultural pest insects. Traps represent a fundamental tool in integrated pest management strategies, both for monitoring and mass trapping purposes. The aim of this work was to provide a comprehensive overview of the available solutions, highlighting their potential and limitations. Particular attention was given to the technological evolution of trapping systems in response to the emerging demands of precision agriculture. The study analyzed the main types of conventional traps, focusing on their structural characteristics and capture mechanisms. In addition, the different categories of attractants—such as pheromones, food-based, and visual attractants—were examined, evaluating their effectiveness in relation to target insect species and environmental factors. A substantial part of the work was dedicated to Smart Traps, innovative systems capable of automating insect identification and counting. In this framework, sixteen commercial models developed by six different companies were analyzed, with particular emphasis on their hardware and software components. This analysis highlighted the variety of technological solutions adopted according to crop type and target insect groups. The final comparative analysis revealed both strengths and critical issues among the models considered. The results show that Smart Traps provide a significant improvement in terms of efficiency and data management compared to traditional systems. However, notable differences emerge with regard to technological complexity and fields of application. Overall, these systems represent a promising tool for integration into integrated pest management strategies.
Il presente lavoro si inserisce nel contesto della crescente esigenza di sistemi di monitoraggio efficaci e sostenibili per la gestione degli insetti dannosi in ambito agricolo. L’uso di trappole rappresenta uno strumento fondamentale nelle strategie di difesa integrata, sia per il monitoraggio sia per la cattura massale. L’obiettivo dello studio è stato quello di fornire una visione organica delle soluzioni disponibili, evidenziandone potenzialità e limiti. Particolare attenzione è stata rivolta all’evoluzione tecnologica delle trappole, in risposta alle nuove esigenze dell’agricoltura di precisione. Nel lavoro sono stati analizzati i principali modelli di trappole standard, approfondendone le caratteristiche strutturali e i meccanismi di cattura. È stata inoltre esaminata la tipologia di attrattivi impiegati, quali feromoni, attrattivi alimentari e visivi, valutandone l’efficacia in relazione agli insetti target e ai fattori ambientali. Un’ampia parte dello studio è stata dedicata alle Smart Traps, sistemi innovativi in grado di automatizzare l’identificazione e il conteggio degli insetti. In questo contesto, sono stati analizzati sedici modelli commerciali sviluppati da sei aziende, con riferimento alle componenti hardware e software. L’analisi ha permesso di evidenziare le diverse soluzioni tecnologiche adottate in funzione delle colture e degli insetti bersaglio. L’analisi comparativa finale ha messo in luce punti di forza e criticità dei diversi modelli considerati. I risultati mostrano come le Smart Traps offrano un significativo miglioramento in termini di efficienza e gestione dei dati rispetto ai sistemi tradizionali. Tuttavia, emergono differenze rilevanti legate alla complessità tecnologica e agli ambiti di applicazione. Nel complesso, tali sistemi rappresentano uno strumento promettente per l’integrazione nelle strategie di difesa integrata.
Smart Traps: tecnologie per il riconoscimento automatico degli insetti dannosi in agricoltura.
BERTOLO, CRISTIANO
2025/2026
Abstract
This study is set within the context of the growing need for effective and sustainable monitoring systems for the management of agricultural pest insects. Traps represent a fundamental tool in integrated pest management strategies, both for monitoring and mass trapping purposes. The aim of this work was to provide a comprehensive overview of the available solutions, highlighting their potential and limitations. Particular attention was given to the technological evolution of trapping systems in response to the emerging demands of precision agriculture. The study analyzed the main types of conventional traps, focusing on their structural characteristics and capture mechanisms. In addition, the different categories of attractants—such as pheromones, food-based, and visual attractants—were examined, evaluating their effectiveness in relation to target insect species and environmental factors. A substantial part of the work was dedicated to Smart Traps, innovative systems capable of automating insect identification and counting. In this framework, sixteen commercial models developed by six different companies were analyzed, with particular emphasis on their hardware and software components. This analysis highlighted the variety of technological solutions adopted according to crop type and target insect groups. The final comparative analysis revealed both strengths and critical issues among the models considered. The results show that Smart Traps provide a significant improvement in terms of efficiency and data management compared to traditional systems. However, notable differences emerge with regard to technological complexity and fields of application. Overall, these systems represent a promising tool for integration into integrated pest management strategies.| File | Dimensione | Formato | |
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https://hdl.handle.net/20.500.12608/105810