Core Insights - The article discusses the challenges and innovations in agricultural subsidy management in Suzhou, focusing on the use of digital finance and AI technology to enhance efficiency and accuracy in subsidy distribution [1][2][3][4] Group 1: Challenges in Agricultural Subsidy Management - Agricultural subsidy management faces multiple challenges, including heavy burdens on grassroots workers, low efficiency due to cumbersome approval processes, high regulatory costs, and insufficient transparency in tracking fund flows [2] Group 2: Innovations and Solutions - Suzhou's Finance Bureau has implemented the "Crop Cloud" management platform, which has enabled precise verification of subsidy eligibility, resulting in a 99.8% accuracy rate and a reduction in fund disbursement time from 15 days to 3 days [1] - The use of "high-precision remote sensing image interpretation and AI field recognition" technology has allowed for the rapid disbursement of rice subsidies, with funds reaching farmers' accounts within one working day and a 100% policy coverage rate [1] - The Finance Bureau is focusing on four key areas to enhance digital finance: breaking down system barriers, reshaping business processes, strengthening intelligent supervision, and expanding service scenarios to improve data utilization [3] Group 3: Future Directions - The Finance Bureau aims to transition from "precise distribution" to "intelligent governance" in rural revitalization fund management through a combination of technological empowerment and institutional innovation [4]