Precision Agriculture and Crop Models for Climate Change Adaptation

A special issue of Agronomy (ISSN 2073-4395). This special issue belongs to the section "Precision and Digital Agriculture".

Deadline for manuscript submissions: 30 September 2026 | Viewed by 783

Special Issue Editors


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Guest Editor
Institute of Agronomy, Department of Agronomy, Kaposvár Campus, Hungarian University of Agriculture and Life Sciences, Guba Sandor utca 40, 7400 Kaposvár, Hungary
Interests: agrometeorology; crop modeling; climate projections; stress analysis; climate adaptation

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Guest Editor
Institute of Agronomy, Department of Precision Agriculture and Digital Farming, Hungarian University of Agriculture and Life Sciences, Páter K. utca 1, 2100 Gödöllő, Hungary
Interests: precision agriculture; remote sensing; crop monitoring; digital farming

Special Issue Information

Dear Colleagues,

Climate change is reshaping agriculture: rising temperatures, erratic extremes, shifting habitats, tightening water budgets, and accelerating soil erosion are all converging while a growing population demands not only more food, but higher nutritional quality and safety. At the same time, advances in crop modeling and precision agriculture enable site-specific, real-time, and anticipatory management—turning data into resilient decisions.

This Special Issue invites studies that—whether rooted in field or laboratory experiments or in crop modeling—quantify climate-related risk and design actionable adaptation/mitigation strategies. These strategies can range from plot and farm to national, continental, or even global levels, and across time horizons from historical baselines through to near-term or end-century projections. This Special Issue will explore precision farming solutions where the data and experience provided can contribute to adapting to the challenges of climate change.

We welcome contributions from across the field that promote climate change adaptation and mitigation in agriculture. This includes studies that integrate in situ measurements, as well as remote/proximal sensing and management data to improve yield, quality, and nutritional traits, stability, resource use efficiency (water, plant nutrition, and energy), and soil health.

Dr. Katalin Somfalvi-Tóth
Prof. Dr. Gábor Milics
Guest Editors

Manuscript Submission Information

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Keywords

  • climate change
  • precision agriculture
  • crop models
  • adaptation
  • soil conservation
  • data-based agriculture
  • phenology
  • crop yield

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Published Papers (1 paper)

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Research

23 pages, 1668 KB  
Article
Precision-Based Assessment of Environmental Water and Thermal Balance in Basin-Mulched Date Palm Orchards Under Arid Conditions
by Abdulaziz Alharbi and Mohamed Ghonimy
Agronomy 2026, 16(5), 539; https://doi.org/10.3390/agronomy16050539 - 28 Feb 2026
Viewed by 287
Abstract
Precision field measurements were conducted to evaluate the mechanism of organic basin mulching on water and thermal dynamics in arid date palm orchards in central Saudi Arabia. Partly mulched zones (20 m radius) and fully mulched basins were compared with adjacent bare soil [...] Read more.
Precision field measurements were conducted to evaluate the mechanism of organic basin mulching on water and thermal dynamics in arid date palm orchards in central Saudi Arabia. Partly mulched zones (20 m radius) and fully mulched basins were compared with adjacent bare soil using micrometeorological sensors and microlysimeters. In partly mulched areas, soil heat flux (G) decreased by 68.3% while sensible heat flux (H) increased up to 86.9% during late spring, indicating enhanced energy redistribution. Bare soil exhibited slightly negative latent heat flux (λE) in early spring, reflecting vapor adsorption, whereas fully mulched basins substantially reduced evaporation, with Water Conservation Efficiency Index (WCEĪ) values of 0.33 in spring and 0.27 in summer, corresponding to 33% and 27% water savings, respectively. Root-zone thermal moderation, quantified by the Root-Zone Thermal Moderation Index (RTMI), confirmed effective buffering of subsurface temperatures by 6–7 °C across 2–10 cm depths, despite slightly elevated surface temperatures. These results demonstrate that basin mulching stabilizes soil moisture, moderates diurnal thermal fluctuations, and optimizes soil–atmosphere energy partitioning under arid conditions. By integrating direct lysimeter measurements with continuous energy flux observations and index-based analysis, this study provides novel, field-based insights into the dual role of organic mulching in enhancing water conservation and thermal regulation in arid date palm orchards. Full article
(This article belongs to the Special Issue Precision Agriculture and Crop Models for Climate Change Adaptation)
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