System for analyzing public spending and economic outcomes in government administration, identifies nutrient deficiency in plants using convolutional neural networks in advanced agriculture purpose, where system analyzes public spending for social welfare and to run government administration
2023-10-16
专利权人BHARATH HIGHER EDUCATION & RES INST (BHAR-Non-standard)
申请日期2023-10-16
专利号IN202341069685-A
成果简介NOVELTY - The system identifies nutrient deficiency in plants using convolutional neural networks in advanced agriculture purpose, where the system analyzes public spending for social welfare of people and to run the government administration by studying government spending behavior and effects on the economy. The system analyzes the government spending particularly on people welfare and employment generation programs. Local governments nearer to the local residents evaluate the need for local public goods more efficiently. USE - System for analyzing public spending and economic outcomes in government administration e.g. central government, state government, and lower level government such as district office, and gram panchayat. ADVANTAGE - The system analyzes the government spending particularly on people welfare and employment generation programs, and provides a decentralized provision of public goods as an optimal option by identifying and satisfying the geographically varying demands for public goods generating for maximum social welfare.
IPC 分类号G06Q-050/22 ; G06Q-050/26 ; G06Q-090/00
国家印度
专业领域信息技术
语种英语
成果类型专利
文献类型科技成果
条目标识符http://119.78.100.226:8889/handle/3KE4DYBR/19757
专题中国科学院新疆生态与地理研究所
作者单位
BHARATH HIGHER EDUCATION & RES INST (BHAR-Non-standard)
推荐引用方式
GB/T 7714
MUTHUKUMARAVEL A,CHIDAMBRAM K,NAVEENCHANDRAN P,et al. System for analyzing public spending and economic outcomes in government administration, identifies nutrient deficiency in plants using convolutional neural networks in advanced agriculture purpose, where system analyzes public spending for social welfare and to run government administration. IN202341069685-A[P]. 2023.
条目包含的文件
条目无相关文件。
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。