On July 20th, the 2023 Rural Revitalization · Digital Rural (Ningxia) Forum was held in Yinchuan. At the round table forum, around the theme of "Smart Agriculture Helps Rural Revitalization", participants stated that with the continuous progress of digital technology, China's smart agriculture has broad prospects for development and has achieved significant results. The next step is to fill the gaps, focus on the core, strengthen intelligence, promote industrial coordinated development and innovation, empower digital technology to develop smart agriculture, and promote rural revitalization. The No. 1 central document of 2023 on enabling smart agriculture with digital technology pointed out that the digital rural development action should be deeply implemented to promote the R&D and promotion of digital application scenarios. Accelerate the application of agricultural and rural Big data and promote the development of smart agriculture. In response, He Yong, Director of the Digital Agriculture and Rural Research Center of Zhejiang University and Director of the Key Laboratory of Spectral Testing of the Ministry of Agriculture and Rural Affairs, stated that smart agriculture refers to an integrated system that includes plants, soil, environment, machinery, humans, climate, and management, involving information perception, autonomous decision-making, and precise operations. Implementing these links requires a lot of technical support. With the rapid development of digital technology in China, we need to increase the integration of algorithms, models, intelligent equipment, and data platforms to assist in the development of smart agriculture and digital rural construction. "In the process of promoting informatization, we need to constantly promote the development of technology, talents and collaboration. With the support of the Party Committee, the Government and the Department of Science and Technology of Ningxia and other departments, we have established the Ningxia Agricultural Internet of Things Engineering Technology Research Center through the institute local cooperation mode. To solve the service collaboration in development, we have joined forces with eight eastern scientific research institutions, including the Chinese Academy of Sciences, the Chinese Academy of Agricultural Sciences and Zhejiang University We have established the Ningxia Smart Agriculture Industry Collaborative Innovation Center to better serve agricultural development. In order to ultimately solve the problems of premium capacity, production efficiency, and environmental protection improvement of agricultural products, we have explored service models and created a rural flavor Ningxia to solve the problems of agricultural products going global and developing and expanding; Solve the problem of enhancing the brand value of agricultural products through the assistance of technology support. Solve the problem of environmental protection improvement through Big data. " Wang Hongyan, Executive Director of Ningxia Smart Agriculture Industry Technology Collaborative Innovation Center, said. He Xiaolong, General Manager of the Food and Agriculture Industry at Hikvision, believes that the development of smart agriculture is mainly based on industrial development, which includes both good planting and good sales. Based on this, the future development direction of smart agriculture should be based on the technological process transformation of agricultural industry upgrading. Enterprises should continuously expand the IoT perception capabilities of intelligent agricultural machinery and other facilities, and help traditional agricultural facilities gradually improve. By utilizing a large amount of IoT perception, we aim to enhance the digitalization and intelligence level of the agricultural industry, converting previous manual experience into machine experience, and helping to improve the efficiency of manual based operation modes and application scenarios. In addition, the application of new spectral technology in the entire industrial chain of agricultural products, including production, processing, storage, transportation, and sales, can enable cost-effective and easier to operate detection products to be applied to every link from the field to the dining table, ensuring food safety. To create an artificial intelligence model, the first thing to consider is communication hardware, which is crucial because massive data sources are the core of the model implementation. It is also important to distinguish between digitization and informatization, as digitization is the most crucial aspect