Decision-Support Algorithm for Agronomic Practices: A Software Approach for Modeling Mechanized Tillage Planning

Abstract

This article introduces an advanced decision-support software aimed at enhancing mechanized agricultural tillage practices. It emphasizes the necessity of detailed planning before sowing to efficiently utilize resources and prevent soil deterioration. The developed algorithm, harnesses the power of compatibility matrices to analyze the complex interrelationships among various factors such as soil types, crop types, and machinery options. The study collected exhaustive data on tillage practices and uses this information to create compatibility matrices, enabling an intelligent algorithm to guide decision-making processes. The central feature of this software is its ability to generate a comprehensive tillage plan in natural language, serving as a detailed guide for farmers and other stakeholders. This algorithm is incorporated into a user-friendly web application, offering stakeholders an interactive platform for decision-making. The software is thoroughly validated by domain experts to ensure its reliability and accuracy.