Climate change is significantly altering the enviromental conditions that characterize the postharvest phase of horticultural products, promoting the onset of physiological and pathological disorders that compromise quality, shelf-life and food safety. Apples, citrus fruits and tomatoes are among the most vulnerable products, showing symptoms such as decay, dehydration and microbial growth. This thesis aims to analyse the use of Internet of Things (IoT) technologies and precision agriculture in the prevention and management of biotic and abiotic postharvest disorders. Environmental sensors, wireless transmitters and predictive model are presented as innovative tools for real-time monitoring of storage conditions throughout the agri-food supply chain. Through the analysis of case studies reported in recent scientific literature, the effectiveness of these systems will be assessed in reducing qualitative losses in apples, citrus fruits and tomatoes. The objective of this work is to highlight how such technologies can contribute to the sustainable management of horticultural products in a rapidly changing climate context.
Il cambiamento climatico sta determinando profondi mutamenti nelle condizioni ambientali che caratterizzano la fase post-raccolta dei prodotti ortofrutticoli, favorendo l’insorgenza di fisiopatie e fitopatie che compromettono qualità, shelf-life e sicurezza alimentare. Mele, agrumi e pomodori sono tra i prodotti più vulnerabili a tali alterazioni, che si manifestano sotto forma di marciumi, disidratazione e sviluppo microbico. Questo elaborato è volto ad analizzare l’impiego delle tecnologie “Internet of Things” (IoT) e dell’agricoltura di precisione per la prevenzione e gestione delle alterazioni biotiche e abiotiche post-raccolta. Sensori ambientali, trasmettitori wireless e modelli predittivi rappresentano strumenti innovativi per il monitoraggio in tempo reale delle condizioni di conservazione lungo la filiera agroalimentare. Attraverso l’analisi di casi studio riportati nella letteratura scientifica recente, verrà valutata l’efficacia di questi sistemi nella riduzione delle perdite qualitative di mele, agrumi e pomodori. L’obiettivo del presente elaborato è evidenziare come tali tecnologie possano contribuire ad una gestione sostenibile dei prodotti ortofrutticoli in un contesto climatico in rapido mutamento.
Tecnologie IoT (Internet of Things) e agricoltura di precisione: un approccio innovativo alla prevenzione e gestione delle fisiopatie e fitopatie post-raccolta nel contesto del cambiamento climatico
SORDINA, GIULIA
2024/2025
Abstract
Climate change is significantly altering the enviromental conditions that characterize the postharvest phase of horticultural products, promoting the onset of physiological and pathological disorders that compromise quality, shelf-life and food safety. Apples, citrus fruits and tomatoes are among the most vulnerable products, showing symptoms such as decay, dehydration and microbial growth. This thesis aims to analyse the use of Internet of Things (IoT) technologies and precision agriculture in the prevention and management of biotic and abiotic postharvest disorders. Environmental sensors, wireless transmitters and predictive model are presented as innovative tools for real-time monitoring of storage conditions throughout the agri-food supply chain. Through the analysis of case studies reported in recent scientific literature, the effectiveness of these systems will be assessed in reducing qualitative losses in apples, citrus fruits and tomatoes. The objective of this work is to highlight how such technologies can contribute to the sustainable management of horticultural products in a rapidly changing climate context.| File | Dimensione | Formato | |
|---|---|---|---|
|
Sordina_Giulia.pdf
accesso aperto
Dimensione
2.91 MB
Formato
Adobe PDF
|
2.91 MB | Adobe PDF | Visualizza/Apri |
The text of this website © Università degli studi di Padova. Full Text are published under a non-exclusive license. Metadata are under a CC0 License
https://hdl.handle.net/20.500.12608/93966