Profit optimization in corn weed control using atrazine under interval uncertainty

Articles in Press

Document Type : Research Paper

Authors

1 Department of Agricultural Economics, Saravan University, Saravan, Iran

2 -Faculty of Engineering, Department of Economic Sciences, University of Saravan, Sistan and Baluchestan, Iran

10.22034/ecoj.2026.68399.3444

Abstract

This study focuses on the importance of effective weed control in increasing corn yield, to optimise the profit in weed control under interval uncertainty. We aim to find an optimal balance between crop and weeds to maximise the economic benefit for the producer. To achieve this goal, a dose-response function was first modelled for herbicides and weed population dynamics (such as invasive dicotyledonous weeds). Then, the final crop yield was calculated by considering factors such as planting method, weather conditions, and pests. This problem was formulated as an optimal control problem with an interval profit function. Simulation results using the herbicide atrazine showed that applying optimal herbicide doses leads to a sustainable reduction of the seed bank and a significant increase in profitability over time. Optimal solutions based on the LU order relationship are shown, which significantly improve the long-term economic profit and productivity of intelligent weed management. This study formulates the weed control problem as a dynamic interval value optimisation problem and, using the solution concept generated by the LU order relationship, provides an efficient tool for sustainable decision-making in agriculture and the management of economic uncertainties.

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Main Subjects

Applied Theories of Economics

Articles in Press, Accepted Manuscript
Available Online from 21 February 2026

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