Group 1 - The core viewpoint of the articles highlights the significant role of smart agricultural machinery in enhancing the efficiency and quality of wheat harvesting in Shandong and Hebei provinces [1][6][11] - In Weifang, Shandong, new intelligent agricultural machines equipped with Beidou navigation and AI vision systems are autonomously planning precise harvesting paths and dynamically adjusting operational parameters based on real-time crop data [3][5] - Hebei's Langfang city is actively organizing agricultural machinery for wheat harvesting, ensuring that summer grain is efficiently collected, with a focus on minimizing losses through advanced technology [7][9] Group 2 - Langfang city has harvested 626,200 acres of wheat out of a total of 1,298,700 acres, with expectations to complete the harvest by June 22 [11] - The integration of AI models for crop management, irrigation, and disaster response is being utilized to optimize wheat harvesting and summer corn planting strategies, leading to cost reduction and efficiency improvements [5] - The use of smart harvesting machines in Langfang is supported by technical guidance for farmers on scientific harvesting and crop rotation practices to maximize yield [9][11]

Group 1 - The core viewpoint of the articles highlights the integration of advanced technologies such as AI, satellite navigation, and remote sensing in agricultural practices to enhance efficiency and precision in crop management [1][5][10] - In Heilongjiang, the use of self-propelled variable spray machines combined with multi-spectral remote sensing technology allows for precise weed control in corn fields, improving crop health and yield [1][3] - Shandong province reports that over 97% of wheat harvesting is completed, with the use of smart agricultural machinery significantly improving the quality and efficiency of the "Three Summers" operations [6][8] Group 2 - In Hebei, the harvesting of 1.2987 million acres of wheat is underway, utilizing over 17,000 agricultural machines equipped with satellite navigation systems to ensure efficient collection and minimize losses [11][13][15] - The application of AI models in crop management helps in optimizing irrigation, nutrient application, and disaster response, leading to cost reduction and increased efficiency in farming practices [10] - The integration of technology in agriculture not only aids in immediate tasks like harvesting and planting but also supports long-term strategies for crop rotation and sustainable farming [13][15]