Data-Driven Agronomic Solutions to Close Wheat Yield Gaps and Achieve Self-Sufficiency in Uzbekistan

Krishna Prasad Devkota, Mina Devkota, Hasan Boboev, Diyor Juraev, Sherzod Dilmurodov and Ram C. Sharma

Agricultural Systems, 2025, vol. 225, issue C

Abstract: Agriculture is a cornerstone of Uzbekistan's economy, accounting for 25 % to the national gross domestic product and employing 26 % of the workforce. Since independence, wheat intensification has been a national priority, with cultivated land expanding from 0.63 million hectares (Mha) to 1.24 Mha and productivity increasing from 1.66 t ha−1 in 1991 to 4.55 t ha−1 in 2023. However, on-farm yields remain below attainable yield, leading to a reliance on wheat imports to meet domestic demand. Closing this yield gap is critical for achieving national wheat self-sufficiency.

Keywords: Sustainable intensification; Conservation agriculture; Plant-available water content; Precision agronomy; Machine learning in agriculture; Climate-smart agriculture; APSIM-Wheat model; Self-sufficiency in wheat (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:eee:agisys:v:225:y:2025:i:c:s0308521x25000319

DOI: 10.1016/j.agsy.2025.104291

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