Árpád Ferencz, Levente Komarek, Anita Csiba, Zsuzsanna Deák

The effect of precision agriculture tender on the efficiency of sunflower cultivation

Introduction

The effect of precision agriculture tender on the efficiency of sunflower cultivation . Explore the economic analysis of sunflower cultivation using precision agriculture systems. Learn how data-driven decisions optimize resources, reduce waste, and improve efficiency.

Abstract

By using precision farming systems, we can optimize the use of resources, reducing waste and wastage. The basis of a well-functioning precision agriculture is the immediate and continuous recording of accurate data at the point of cultivation, and then processing and analyzing the data. This requires a change of approach not only by developers and machine manufacturers, but also by farmers, to turn data into decision-support information that can be quickly made available without external assistance. In our work, we aim to provide an economic analysis of the production of sunflower using precision technology. The production of sunflower is studied at an agricultural enterprise whose crop production sector is considered to be at the forefront of the application of precision technologies on a national level. The principle that the more intensive a cropping system, the more advantages there are in using site-specific technology, is fully realized in the enterprise under study. In our work we present the elements of precision technology applied in sunflower production. On this basis, we calculate the costs of cultivation and the income that can be generated. We determine the results with and without subsidies, which can provide information on the actual income-generating capacity.

Review

This paper proposes a timely and relevant investigation into the economic impacts of precision agriculture (PA) in sunflower cultivation. The abstract clearly articulates the increasing importance of PA for resource optimization and data-driven decision-making in modern agriculture, highlighting the need for a paradigm shift from data collection to actionable decision-support information. The primary objective is to conduct an economic analysis of sunflower production utilizing precision technologies at a leading agricultural enterprise, detailing cultivation costs and generated income, both with and without subsidies, to assess actual profitability and income-generating capacity. A significant strength of this proposed work lies in its focus on a practical and often overlooked aspect of PA adoption: its direct economic benefits. By providing a detailed cost-income analysis for sunflower, the study promises valuable insights for farmers, policymakers, and industry stakeholders considering PA investments. The decision to analyze data from an enterprise recognized for its advanced application of PA technology offers a unique opportunity to showcase best practices and the full potential of these systems when intensively implemented. Furthermore, the inclusion of both subsidized and unsubsidized results is crucial for a realistic evaluation of the technology's inherent income-generating capacity, making the findings more robust and applicable. While the abstract outlines a promising study, some areas could benefit from further clarification. The title's mention of "precision agriculture tender" is not explicitly elaborated upon in the abstract, which instead focuses on the general application of precision farming systems; clarifying this specific aspect would be beneficial. To strengthen the methodological foundation, more detail on the specific economic models employed, the period of data collection, and the specific metrics used to define and measure "efficiency" (beyond just costs and income) would enhance the abstract's clarity and demonstrate the study's rigor. Despite these minor points, the paper addresses a critical need for empirical economic data on PA implementation. With appropriate execution, this study has strong potential to make a valuable contribution to the literature and practical application of precision agriculture.

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