Advances in computer technologies have profoundly influenced the use of Information and Communication Technology (ICT) support in agricultural activities. Half of the working population in Bangladesh depends on the agriculture sector. Historically over the last 10-15 years, ICT has changed the way of world works but on the other hand there has not been a desirable change of agriculture sector in Bangladesh. This study describes the design and development of an online agricultural support system that can bridge the gap between farmers and consumers demands. This online system will act as a unique and secure way to perform agro based marketing with equipment renting. Also this web tools provides a computerized farming system which has been implemented as part of precision agriculture before starting the cultivation process according to the area of the cultivation land and the season. Here, Multiple Linear Regression of machine learning algorithm is used. This technique is used for forecasting rainfall, average temperature of certain location, soil PH level and prediction based yield rate. Besides, farmers can optimize on their agricultural activities such as information about nearest preservation centers, consulting with experts, comparison of current market rate, awareness about latest technologies. It can ensure the flexibility which can maneuver the consumer- farmer relationship in an effective manner.

Keywords : ICT; Online; Support System; Farmer; Consumer.