Core Viewpoint - The first Low Altitude Marine Remote Sensing Conference was held in Qingdao, Shandong, focusing on the theme "Low Altitude Eye, Smart Observation of Deep Blue" and the core vision of "Intelligent Connection of Sea and Air" [1] Group 1: Conference Overview - The conference was organized by Ocean University of China, with support from the University of Aerospace Information (under preparation) and Sun Yat-sen University, attracting over 200 experts and researchers from universities and research institutions [1] - The event featured invited and keynote presentations from experts affiliated with various institutions, including the Chinese Academy of Sciences, Wuhan University, and the China Aerospace Science and Technology Corporation, discussing topics such as drone remote sensing systems and multi-source collaborative observation [1] Group 2: Discussions and Outcomes - A roundtable discussion was held, where experts engaged in in-depth discussions on scientific issues, technical challenges, development paths, and discipline construction related to low altitude marine remote sensing, aiming to further consolidate development consensus [1]

Group 1 - Hebei province utilizes intelligent agricultural machinery and cross-departmental collaboration to achieve efficient integration of "harvesting + sowing" [2] - Langfang city mobilizes over 17,000 agricultural machines including combine harvesters and corn planters for operations [4] Group 2 - Heilongjiang province employs smart irrigation equipment widely in rice fields to ensure a good harvest [6] - In Shuangyashan city, staff from Beidahuang Agricultural Group design patrol routes using a smart agricultural control platform [8] Group 3 - Henan province leverages agricultural technology with unmanned precision sowing machines becoming the main equipment in high-standard farmland [10] - In Hegang city, agricultural technicians use drone remote sensing systems for multi-spectral scanning of arable land [11] - In Xunxian county, a sowing machine is guided by the Beidou navigation system to plan sowing routes [12] Group 4 - Shanxi province sees an increase in the use of unmanned driving technology for harvesting, with a notable unmanned combine harvester in Linfen city [14] - Xiangfen county actively allocates agricultural machinery to ensure sufficient equipment supply [16] Group 5 - Xinjiang province deploys 14,000 combine harvesters to support summer harvest, establishing 564 cross-regional service stations for key grain-producing areas [18] - Various levels of grain and material reserve departments organize professionals to inspect collection points, ensuring standardized processes and fair pricing [20]

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]