新春走基层 | 传统育种遇上AI 让农业更高效 丰收更可期

Core Viewpoint - The collaboration between traditional rice breeding experts and AI engineers in Hainan's Sanya is aimed at overcoming challenges in rice hybridization and improving agricultural efficiency through technology [1][13]. Group 1: Challenges in Traditional Breeding - Zhang Guangheng, a veteran in rice breeding, faces difficulties in synchronizing flowering periods between indica and japonica rice varieties, which complicates the pollination process [3][5]. - Traditional methods involving large teams have proven ineffective in accurately calculating flowering periods, prompting a shift towards AI solutions [5][9]. Group 2: AI Integration and Technological Development - Zhang Jianhua's AI team has been working since 2021 to provide customized AI solutions for breeding, including remote monitoring and AR technology for pest identification [5][11]. - Initial trials with drones and robots faced significant challenges, including failures in the field due to equipment limitations and environmental conditions [9][11]. Group 3: Ongoing Research and Future Goals - The teams are actively working to improve robotic capabilities for rice cultivation, including customizing wheels for muddy fields and refining algorithms for better control [9][11]. - The Sanya base is fostering a collaborative environment for innovation, organizing numerous exchanges on new varieties and technologies to enhance the integration of research and industry [11][13].