报告题目:Cropprotection and breeding optimization based on rotating-blade drone
报告专家:Dr.Caifang Cai
报告时间:5月26日(周一)14:20-15:00
报告地点:人工智能研究院(老行政楼北楼)311会议室

报告人简介:
Dr.Caifang CAI engagesin Bayesian inference inverse problem reasoning, eddy current non-destructive detection, mechanical defect modeling, digital simulation and other technologies and their industrialization for a long time, and published more than 20 high-level papers. The research and application of the developed multi-level X/Gamma ray tomography technology and system have been applied in French nuclear power safety monitoring, non-destructive detection of mechanical parts and blade cracks, and high-definition 3D dental and bone medical imaging equipment. Developed image processing and deep learning algorithms, built data cleaning and multiple data analysis algorithm software oriented to user needs, realized user oriented industrial Internet+cloud platform, and had intelligent numerical visualization and analysis functions based on industrial equipment interconnection; Humanized and interactive life cycle management system has been applied to the intelligent, visual and Internet platform of industrial ventilation system.
报告摘要:
Social collaboration will become an important feature of future field farms.Beforeharvest, intelligent monitoring devices collect farmland data, breeding companies develop customized seeds based on the data, and agricultural material enterprises achieve precise distribution; Duringharvest, drones and intelligent systems work together to accurately adjust water and fertilizer according to crop growth, and AI algorithms predict pest and disease risks in advance; Afterharvest, blockchain traceability technology establishes full cycle records for agricultural products, allowing consumers to scan codes to trace the entire production process. AI market models analyze market supply and demand, optimize logistics and sales strategies, making farmland a smart agricultural ecosystem that integrates green technology, data interconnection, and brand value.