Innovation Development in Production, Processing of Safe Agricultural Products and Eco-Industry

Approaches to be used for data analysis for planning and policy decision-making, using descriptive statistics to explain, describe, or summarize the characteristics of numerical datasets collected from secondary data, and using simple statistics such as percentages. Statistical forecasting is used to predict trends in innovation development, safe agricultural product processing, and eco-industry, such as various processed goods. Data is presented in the form of articles, percentage tables, and graphs such as bar graphs, line graphs, and pie charts to find conclusions from the data. This involves bringing the data into a process of displaying values, finding meanings, and summarizing results from the data, which is useful for forecasting the future, finding likely trends, trends in answers, or blind spots that need to be corrected. All of this can help create business potential. In addition, Data Analysis in the present era also involves the application of technology to various techniques and methods, whether using AI for processing or creating Algorithm systems to sort and display data systematically

Agency:

483bd81e-529b-4d55-bb4d-1e3839b47a0e

Licence:

Open Data Common

Category:

ข้อมูลสาธารณะ

Geographic coverage:

จังหวัด

Update frequency:

ปี

Source portal:

gdcatalog

Updated:

13/07/2026

English title machine-translated from the Thai original

Record updated 68 days ago, within its stated annual cycle