Design of a Risk-benefit Assessment System for Unmanned Farm Investments based on BN-DT
Unmanned farms have great potential to improve productivity and the quality of agricultural products.Howev-er,the investment process must face various uncertainties and potential risks.Based on the basic structure and key tech-nology of unmanned farms,this paper proposes a set of investment risk assessment methods based on Bayesian and Dempster-Shafer Theory,which takes various evaluation indicators as evidence sources and transforms them into trust functions.A total of 14 evaluation indexes were screened to construct the unmanned farms'investment risk benefit as-sessment system,and a corresponding database and evaluation system was established,so that investors could choose the evaluation indicators of interest according to their own situation and input the relevant data,and the system would calcu-late and give the corresponding risk-benefit evaluation report based on the evidence theory.The research results aim to provide a scientific and comprehensive evaluation tool for decision-makers in the field of unmanned farm investment,and promote the sustainable development and innovation of agricultural production..
unmanned farmstheory of evidencefuzzy comprehensive evaluation methodinvestment riskbayesian networks
NETL
NSTL
万方数据
维普
