| Summary: | The grape industry in Liangshan, China, has experienced significant growth over the past decade. However, most grape-growing plots in Liangshan are mountainous and scattered, posing challenges for real-time communication using traditional IoT models, as noted by Gamperl et al. (2021). In the coming years, the integration of cloud computing and artificial intelligence (AI) within IoT architecture is expected to become a key area of research in smart agriculture. However, most studies to date have focused on plains with concentrated plots and have not addressed the challenges of implementing peer-to-peer communication in mountainous areas. This study addresses these challenges by transmitting real-time data to a cloud platform via a 4G-cat1 network, enabling real-time communication and data processing in hilly, dispersed agricultural plots. The study outlines the content: developing a theoretical foundation for using 4G-cat1 as the main data transmission method and deploying the necessary infrastructure for reliable connectivity; installing Data Transmission Units (DTUs) at representative locations within the plots to collect and transmit environmental data in real-time to a centralized cloud platform; and utilizing cloud computing and AI technologies to monitor and analyze the stability of data transmission, ensuring the stable operation of each unit. The main finding is that an IoT system utilizing distributed networks is highly effective for smart agriculture in mountainous areas, addressing the challenges of dispersed and non-contiguous agricultural plots. © 2024 SPIE.
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