Innovative Water Management Strategies and Their Impact on Yield and Nutritional Quality of Crops

A special issue of Agriculture (ISSN 2077-0472). This special issue belongs to the section "Agricultural Water Management".

Deadline for manuscript submissions: 15 January 2025 | Viewed by 977

Special Issue Editors


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Guest Editor
Division of Agroecology, Department of Soil Amelioration, University of Zagreb Faculty of Agriculture, 10000 Zagreb, Croatia
Interests: climate change impact on agriculture; soil quality; innovative irrigation strategies; soil salinization and management; precision agriculture technologies; water quality and agricultural practices

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Guest Editor
Department of Agronomy, Biotechnical Faculty, University of Ljubljana, Jamnikarjeva 101, 1000 Ljubljana, Slovenia
Interests: sustainable irrigation technologies; agricultural water management; environmental conservation in agriculture; precision agriculture; irrigation system design; water efficiency in farming; agricultural policy analysis; utilization of treated wastewater

Special Issue Information

Dear Colleagues,

The exploration of low-power sensors, thermal imaging, and hyperspectral imaging has opened new avenues for understanding soil moisture dynamics, plant health, and stress responses, marking a significant shift in how we manage agricultural resources. This issue focuses on the development and application of novel sensor technologies for soil and plant water status detection, the practical benefits of precision irrigation on crop yield and quality, and importantly, the reuse of water for irrigation. It emphasizes the impact of such practices on soil and plant quality, including considerations of microplastics, thereby offering a comprehensive view on modern irrigation practices and their environmental sustainability. We invite cutting-edge research that demonstrates advancements in irrigation technology and methods, including acoustic emission sensors for drought detection, gamma radiation for soil moisture monitoring, hyperspectral imaging for monitoring crop and soil properties, and the integration of national irrigation strategies and decision support systems (DSS). Contributions should also showcase innovative precision irrigation approaches, IoT integration for real-time agriculture monitoring, their impact on water conservation and crop productivity, and how DSS can facilitate the implementation of national irrigation policies effectively. We welcome original research articles, review articles, and case studies that cover:

  • New sensor technologies for irrigation management.
  • Precision irrigation applications and their effects on crop yield and quality.
  • The impact of innovative irrigation strategies on soil health and water efficiency.
  • Reuse of water for irrigation and its implications for soil and plant quality, including the assessment of microplastics.
  • Reuse of water for irrigation, focusing on its implications for soil and plant quality, including the assessment of microplastics.
  • The role of national irrigation strategies and decision support systems in enhancing irrigation practices.
  • Interdisciplinary research offering insights into effective irrigation practices.
  • Socioeconomic effects of adopting advanced irrigation technologies.

Dr. Monika Zovko
Dr. Rozalija Cvejić
Prof. Dr. Gabrijel Ondrasek
Guest Editors

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Keywords

  • precision irrigation
  • soil moisture dynamics
  • plant health monitoring
  • sensor technologies
  • water status detection
  • crop yield enhancement
  • nutritional quality improvement
  • drought detection
  • water conservation strategies
  • decision support systems (DSS)

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Published Papers (1 paper)

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Research

11 pages, 7807 KiB  
Article
Yield Impact of Data-Informed Surface Drainage: An On-Farm Case Study
by Sagar Regmi, Paul Davidson and Cody Allen
Agriculture 2024, 14(12), 2210; https://doi.org/10.3390/agriculture14122210 - 3 Dec 2024
Viewed by 578
Abstract
Drainage is an important aspect of effective water management in row-crop agriculture. Drainage systems can be broadly categorized as either subsurface or surface drainage. A significant amount of design goes into subsurface drainage installations, such as tile networks, and permanent surface drainage installations, [...] Read more.
Drainage is an important aspect of effective water management in row-crop agriculture. Drainage systems can be broadly categorized as either subsurface or surface drainage. A significant amount of design goes into subsurface drainage installations, such as tile networks, and permanent surface drainage installations, such as waterways and berms. However, many farmers also implement temporary surface drainage installations to drain localized areas within their fields each year. This practice involves creating shallow water paths, typically using spinner ditchers, and it is especially commonplace in areas with poor soil permeability. However, this practice is traditionally performed using only observations by farmers and without any data-based workflows. The objective of this study was to analyze the potential yield benefits from a more data-informed approach to surface drainage on a production row-crop farm by exploring corn and soybean yield data from 2008–2021 from two fields where a data-informed approach to surface drainage was implemented. Field topography and drainage information were combined with yield maps from prior years with traditional ad hoc drainage and the years following the incorporation of the data-informed approach to better understand the impact of the workflow. Geospatial distribution of the average normalized crop yields and elevation maps for the fields were analyzed to isolate the yield impacts of the areas affected by the data-informed on-farm surface drainage artifacts. In the years after implementation of the data-informed surface drainage approach, Field 1 and Field 2 showed respective increases of 18.3% and 13.9% in average corn yields. Further analysis isolating three areas affected by the surface drainage using topography and drainage layout showed that all three isolated areas improved more than the field averages, ranging from 15.9–26.5% for Field 1 and 21.4–40.2% for Field 2. Similarly, soybean yields were also higher in the isolated affected areas after the data-informed drainage ditch construction. The findings highlight the effectiveness of data-informed on-farm surface drainage, a relatively straightforward approach that proved beneficial for both soybean and corn production. Full article
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