Optimization Techniques Applied to Agricultural Field: Enhancing Zero Suffix Method for Effective Solid Assignment Problem Solving

Abstract

The Solid Assignment Problem (SAP) is a renowned optimization crisis that involves assigning tasks to workers to minimize costs or maximize efficiency. In the agricultural industry, SAP can be utilized for several purposes, such as scheduling irrigation cycles, allocating workers to specific tasks, and assigning harvesting equipment to different crops. In this research, a novel approach is presented to solve SAP in agriculture using the Improved Zero Suffix Method (IZSM), an optimization technique that improves the convergence rate and accuracy of the standard Zero Suffix Method (ZSM). The proposed methodology formulates SAP as a binary integer programming problem and applies IZSM to solve it.To appraise the act of the method; researches are carried out using real-world data sets from the agricultural sector. These experiments show that the anticipated process out performs obtainable techniques in relation to both solution quality and computation time. Additionally, IZSM is shown to be more robust to input data noise and uncertainty than other optimization approaches. This method can aid farmers in making informed decisions that improve productivity, efficiency, and reduce environmental impact, paving the way for applying combinatorial optimization to a variety of agricultural problems. Therefore, the proposed method is a powerful tool for solving SAP in the agricultural sector, providing high-quality solutions in a reasonable time frame, even for large-scale problems with complicated constraints.