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<p>Suboptimal yields often result from improper water and nutrient management, necessitating the optimization of agronomic inputs using advanced technologies like machine learning. A three-year field experiment conducted under Pannonian Basin conditions was performed using two irrigation systems (drip and sprinkler), three potato cultivars, and four nitrogen (N) and potassium (K) fertilization regimes. Results showed that drip irrigation combined with 103&#xa0;kg N ha⁻¹ and 202&#xa0;kg K ha⁻¹ increased total yield and chip-grade tuber production. The cultivar ‘Brooke’ consistently outperformed the others, with 34.4 t ha⁻¹ total yield and 30.4 t ha⁻¹ marketable tubers (40–90 mm). Strong relationships were observed between marketable and total yield (<i>r</i> = 0.975), while ANN models demonstrated high predictive accuracy (R² up to 0.935). This study highlights the significant potential of integrating optimized drip irrigation and mathematical tools to improve chip potato production. Early cultivars like ‘Brooke’ benefit from targeted management, challenging the traditional assumption that later cultivars yield more.</p>

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Effects of Irrigation and Fertilization on Potato Production for Chips in the Pannonian Basin- A Mathematical Tools Perspective

  • 期刊论文

  • 发表日期：

    2026年2月16日

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  • Đorđe S. Vojnović,
  • Žarko M. Ilin,
  • Danijela F. Žunić,
  • Aleksandra N. Tepić Horecki,
  • Jelena B. Popović-Djordjević,
  • Sina Siavash Moghaddam,
  • Lato L. Pezo,
  • Ivana V. Maksimović

摘要

Suboptimal yields often result from improper water and nutrient management, necessitating the optimization of agronomic inputs using advanced technologies like machine learning. A three-year field experiment conducted under Pannonian Basin conditions was performed using two irrigation systems (drip and sprinkler), three potato cultivars, and four nitrogen (N) and potassium (K) fertilization regimes. Results showed that drip irrigation combined with 103 kg N ha⁻¹ and 202 kg K ha⁻¹ increased total yield and chip-grade tuber production. The cultivar ‘Brooke’ consistently outperformed the others, with 34.4 t ha⁻¹ total yield and 30.4 t ha⁻¹ marketable tubers (40–90 mm). Strong relationships were observed between marketable and total yield (r = 0.975), while ANN models demonstrated high predictive accuracy (R² up to 0.935). This study highlights the significant potential of integrating optimized drip irrigation and mathematical tools to improve chip potato production. Early cultivars like ‘Brooke’ benefit from targeted management, challenging the traditional assumption that later cultivars yield more.