Industry 5.0 Unveiled, Precision Agriculture Empowered

The agricultural sector is undergoing a transformative paradigm shift with the integration of recommendation and prediction systems. These cutting-edge technologies are now crucial in determining how both farmers and sellers make decisions. Stakeholders in the agricultural sector can optimize crop choices, pricing tactics, and general farm management by utilizing data analytics and prediction algorithms. To reveal the diverse uses and effects of these advancements, this study investigates the ramifications of applying recommendation and prediction techniques to farming. In order to better understand the convergence of recommendation and prediction in the agricultural domain, this research explores the creation and deployment of a novel online application. The platform is designed to promote smooth interactions between farmers and merchants, improving the agricultural supply chain’s efficiency and transparency. Farmers are permitted to engage in negotiated agreements with vendors and sell their grown commodities at basic prices determined by the market. In turn, vendors gain from predictive functions that take profitability, seasonal demand, and market conditions into account when making strategic decisions. The paper highlights the privacy-conscious strategy used for creating farming suggestion and prediction systems. The web application has distinct logins for farmers and vendors, with tailored features for each user group. Transparency and accountability are encouraged via a complete dashboard that displays the past transactional data between farmers and merchants. With support for both Marathi and English, the portal serves a wide range of users. By means of this novel application, the study clarifies a noteworthy advancement in the restructuring of agricultural transactions, promoting effectiveness, equity, and financial sustainability for all parties concerned.