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The researchers seek the potential of an agricultural E-Commerce platform with price forecasting model in solving the current national issues as the forecast of vegetable price is vital for decision making in agriculture sector. In particular, the COVID-19 pandemic affected a lot of sectors especially the agricultural sector. The idea of this study is to design and develop an E-Commerce platform to allow everyone especially the small farmers to sell their products online which it is relevant to the Malaysia's government policy that six thrust areas have been identified under the National E-Commerce Strategic Roadmap to accelerate E-Commerce growth. It aims to construct and optimize the vegetable price forecasting model which employed Seasonal Autoregressive Integrated Moving Average (SARIMA) and displayed in dashboard of the newly designed and developed agricultural E-Commerce platform. [ABSTRACT FROM AUTHOR]

The shift from paper-based to web-based practice is a significant trend, as paper-based practice consumes time, is prone to error, and is more prone to data loss, all of which lead to inefficiency. Smart farming or agriculture 4.0 defined the new era of agriculture that moving toward digitalization. However, the absence of a centralized information system, which results in information asymmetry among agricultural sectors. One of the keys to success is reaching out to farmers with pertinent agricultural information at the appropriate time and platform. The purpose of this study is to design and create a dynamic web-based knowledge management system for the dissemination of agricultural knowledge in Malaysia. A centralized information system capable of achieving information symmetry, in which all important information is accessible to all participants. Creating an advanced learning environment allowing for virtual engagement between external and internal stakeholders via a web-based knowledge management system. [ABSTRACT FROM AUTHOR]