Integration of Farmers and Experts using Crop Recommendation and yield prediction Model with Machine Learning

Abstract

The sector of Agriculture sector has faced complex challenges in order to achieve sustainable crop production and maximizing yields. Very often these kinds of challenges arise from the complexities of crop prediction and yield optimisation. This study purports to present an innovative machine learning-based solution which is designed to transform crop prediction and yield recommendation in agriculture. The proposed platform serves as a vital link between expert and traditional farmers, harnessing the power of machine learning algorithms to predict crop outcomes and recommend optimal strategies for yield enhancement. It rationalizes interactions, empowering farmers with data-driven insights and tailored recommendations. By providing a direct channel for expert and traditional farmers to access predictive information, this solution eliminates guesswork and inefficiencies in crop management. Furthermore, the integration of machine learning technology for crop prediction and yield recommendation marks a significant advancement in agricultural decision-making. Leveraging historical data, environmental factors, and crop-specific indicators, the model offers actionable insights into crop growth and yield optimisation. This platform provides a user-friendly interface, making it accessible to a wide range of farmers, from experts to traditional practitioners. This research endeavor seeks to redefine agricultural practices by embracing technological advancements. By mitigating uncertainties, enhancing transparency, and supplying critical recommendations, our solution contributes to a more sustainable and productive agricultural ecosystem. In a rapidly evolving technological landscape, this innovative platform empowers farmers to make informed decisions, thus revolutionizing the way crops are predicted and yields are optimised. It represents a pivotal step towards creating a more equitable and efficient marketplace for both seasoned and traditional farmers.