The Economic-base Development to increase the population‘s quality of life and reduce the difference of income distribution in Thailand. The main factors are to build the sustainability of Thai Agricultural sectors   as well as the way to make them sustainability. Therefore the main reason of this research is aim to develop and bring the Ecological Management System of organic products to sustainability. This research is Mixed Methods between quantitative and qualitative research. In qualitative research, is a lesson through the in-depth interview with farmers doing organic farming, marketers, and academics in the community 9 people, consisting of organic farming Agricultural product dealers’ agricultural scholars in metropolitan area bring lessons learned In quantitative research, by using the Structural Equation Analysis (SEM) method, using the method to determine the sample size following the statistical analysis of the composition. The total number of samples in this study was 540 samples. The research sample consisted of consumers interested in purchasing agricultural products online to synthesize with document research and extracting the constituents to find the number of elements to create a questionnaire that is used to analyze the data.

              The research results showed that the developed hypothesis model is consistent with empirical data, that is, the Research has found that to build the sustainability on Ecological Management of Community Organic Products contain of 1) Production Management 2) Partnership Management 3) Logistics and Supply chain Management 4) Marketing Management 5) Distribution Management and from the Analysis of SEM and we also found that the mentioned factors are affected to the sustainability of community organic products. In conclusion, the variance of sustainable community agricultural products could be explained by 83.12%. The results of The Structural Equation Modeling results are aligned with the empirical model as: χ2/df=1.213, p=0.1057, CFI=0.975, GFI=0.963, AGFI=0.932, RMSEA=0.023