ABSTRACT

The farming system is a decision-making unit comprising the farm household, cropping systems and livestock systems, which transforms land, external inputs like seed, pesticides, nutrients, etc. and labor including knowledge into useful products that can be consumed or sold. Digital farming is the use oftechnology by farmers to integrate financial and field-level records for complete farm activity management. A web-based system that links farmers to buyers, often referred to as digital agriculture or e-agriculture, can facilitate the entire agrifood value chain, including e-commerce platforms, e-extension services, and warehouse receipt systems. It can enhance efficiency, transparency and profitability The problem statement of this research focus on many farmers facing challenges such as low profit margins, lack of real-time market information, dependency on middlemen, a centralized digital platform can mitigate these issues by providing direct communication and lack of secure transactions and fair pricing. The project focuses on the development of a web-based system that links farmers to buyers that would be able to enhance efficiency, transparency and profitability. The objectives of this research are to develop a platform for an automatic web-based system that links farmers to buyers, design a platform where login and registration takes place, build a database structure used to store data, create a design models for the proposed system that enter product, design a platform for linking and buying goods, design a platform that display farmer and digital market, create a platform that display digital product, design a platform that enable the users to link out. The project was realized through the adoption of primary and secondary sources of data collection which includes interview, observation, questionnaire, the internet and journals. The methodology adopted in this research is spiral model Software is designed using Html, PHP and java script and MySQL as the database. The results showed that the reliance on big data may increase the power differential between farmers and information service providers