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Sustainability
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Planning and Sustainable Management of Irrigation in Agricultural Operations
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Planning and Sustainable Management of Irrigation in Agricultural Operations

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Agriculture".

Deadline for manuscript submissions: 26 September 2024 | Viewed by 2382

Special Issue Editors

Dr. Ripendra Awal

E-Mail Website
Guest Editor
College of Agriculture and Human Sciences, Prairie View A&M University, Prairie View, TX, USA
Interests: agricultural water management; irrigation scheduling and crop modeling; climate-smart agriculture; soil health; water–energy–food nexus; climate change and climate extremes; watershed management and modeling; water-related hazards
Dr. Davie M. Kadyampakeni

E-Mail Website
Guest Editor
Citrus Research and Education Center, University of Florida, Gainesville, FL, USA
Interests: soil and water management and conservation; nutrient management; irrigation and drainage management; water and nutrient best management practices; crop production; soil and crop modeling
Special Issues, Collections and Topics in MDPI journals
Dr. Rhuanito S. Ferrarezi

E-Mail Website
Guest Editor
Department of Horticulture, University of Georgia, Athens, GA, USA
Interests: precision irrigation, water management; plant mineral nutrition; nutrient management; cropping systems, greenhouses; vertical farms
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Non-sustainable irrigation practices can lead to environmental degradation, water scarcity, and food insecurity. Therefore, planning and sustainable management of irrigation are essential to ensure the efficient use of water resources, preserve the environment, and enhance agricultural productivity in the field, greenhouses, and vertical farms/plant factories. The development of different new smart technologies and artificial intelligence technologies support agricultural water management and increase water use efficiency in agriculture.

This Special Issue aims to provide the professional and research community with articles that cover different aspects of sustainable management of irrigation, including precision irrigation and conservation practices using sensors and artificial intelligence techniques.

In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:

  • Irrigation scheduling;
  • Smart agriculture;
  • Irrigation system;
  • Irrigation and drainage management;
  • Sustainable agriculture;
  • Water use efficiency;
  • Agricultural water management;
  • Precision irrigation;
  • Climate change;
  • Microirrigation;
  • Artificial intelligence;
  • Field production;
  • Controlled environment agriculture. 

We look forward to receiving your contributions.

Dr. Ripendra Awal
Dr. Davie M. Kadyampakeni
Dr. Rhuanito S. Ferrarezi
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sustainability is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • irrigation scheduling
  • smart agriculture
  • irrigation system
  • irrigation and drainage management
  • sustainable agriculture
  • water use efficiency
  • agricultural water management
  • precision irrigation
  • climate change
  • microirrigation
  • artificial intelligence
  • field production
  • controlled environment agriculture

Published Papers (3 papers)

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Research

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22 pages, 3143 KiB  
Article
Regulated Deficit Irrigation to Boost Processing Tomato Sustainability and Fruit Quality
by Andrea Burato, Giovanna Marta Fusco, Alfonso Pentangelo, Rosalinda Nicastro, Anna Francesca Modugno, Fabio Scotto di Covella, Domenico Ronga, Petronia Carillo, Pasquale Campi and Mario Parisi
Sustainability 2024, 16(9), 3798; https://doi.org/10.3390/su16093798 - 30 Apr 2024
Viewed by 439
Abstract
Improving water use efficiency is gaining relevance for the sustainability of agricultural practices. In semi-arid Mediterranean areas, recent studies highlighted that future climatic scenarios will be even more critical for crops, given the increase in water scarcity. In this context, the rationalization of [...] Read more.
Improving water use efficiency is gaining relevance for the sustainability of agricultural practices. In semi-arid Mediterranean areas, recent studies highlighted that future climatic scenarios will be even more critical for crops, given the increase in water scarcity. In this context, the rationalization of irrigation water is necessary to sustain processing tomato (Solanum lycopersicum L.) yield and quality since this crop requires large volumes of water. The present research aimed to identify the effects of a regulated deficit irrigation (RDI) strategy on the environmental and economic sustainability and fruit technological and functional quality of the processing tomato crop in the Mediterranean area. A two-year, open-field experiment was carried out to compare full irrigation management (IRR, restoring 100% ETc) with an RDI strategy based on restoring 50% ETc when the first fruit cluster reached the typical size (BBCH 701 phenological stage, relative to Solanaceous fruits). Remarkable water saving (21.46%, average of the two years) was achieved under RDI without significant variations in total and marketable yield compared to the IRR regime. Consequently, improved economic water productivity (+23.17%) was observed, allowing enhanced processing tomato sustainability. The RDI strategy boosted the glucose content (+17.78%), soluble solids content (SSC, +10.17%), and dry matter of the fruits (+10.03 g%). Furthermore, a higher SSC-to-titratable acidity ratio (+15.47%) and a negative shift in fructose/glucose balance (−7.71%) were observed in RDI-treated plants. Higher levels of the drought stress markers proline (+38.99%) and total polyphenols (+20.58%) were detected in RDI- compared to IRR-irrigated tomato fruits. These findings suggested the RDI strategy as an effective and sustainable approach for increasing both water productivity and the fruit quality of the processing tomato crop under semi-arid Mediterranean climatic conditions. Full article
(This article belongs to the Special Issue Planning and Sustainable Management of Irrigation in Agricultural Operations)
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Review

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19 pages, 1175 KiB  
Review
Application of Internet-of-Things Wireless Communication Technology in Agricultural Irrigation Management: A Review
by Pan Tang, Qi Liang, Hong Li and Yiyuan Pang
Sustainability 2024, 16(9), 3575; https://doi.org/10.3390/su16093575 - 24 Apr 2024
Viewed by 439
Abstract
The integration of Internet-of-Things technology with traditional agricultural irrigation is a crucial factor in the advancement of traditional agricultural irrigation towards smart irrigation. Despite the widespread use of conventional irrigation methods in many areas, they lead to the significant wastage of both human [...] Read more.
The integration of Internet-of-Things technology with traditional agricultural irrigation is a crucial factor in the advancement of traditional agricultural irrigation towards smart irrigation. Despite the widespread use of conventional irrigation methods in many areas, they lead to the significant wastage of both human and water resources. Therefore, the development of energy-saving and efficient intelligent irrigation systems through the application of Internet-of-Things technology and wireless communication technology is the way forward. This paper summarizes the common wireless communication technologies in the agricultural Internet of Things: Fifth-generation, WiFi, ZigBee, LoRa, and NB-IoT. The research status of the above wireless communication technology in agricultural irrigation management is discussed, and the agricultural irrigation management example using the above wireless communication technology is also presented. The advantages and limitations of the application of the above wireless communication technology in agricultural irrigation management are sorted out. Finally, this paper analyzes the challenges of data security issues, data fusion problems, intelligent irrigation system costs, power and energy problems, and system equipment failures faced by the use of IoT wireless communication technology in agricultural irrigation management. This review aims to assist researchers and users in choosing the most suitable wireless communication technology for diverse applications. Full article
(This article belongs to the Special Issue Planning and Sustainable Management of Irrigation in Agricultural Operations)
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Other

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11 pages, 1275 KiB  
Case Report
Fuzzy K-Means and Principal Component Analysis for Classifying Soil Properties for Efficient Farm Management and Maintaining Soil Health
by Manoj K. Shukla and Parmodh Sharma
Sustainability 2023, 15(17), 13144; https://doi.org/10.3390/su151713144 - 31 Aug 2023
Cited by 4 | Viewed by 836
Abstract
Soil health indicators can guide soil management-related decisions for sustainable agriculture. Principle component (PC) analysis and the fuzzy k-means technique, also known as continuous classification, are useful for designing site-specific management strategies for varying soil properties within a contiguous area. The objective of [...] Read more.
Soil health indicators can guide soil management-related decisions for sustainable agriculture. Principle component (PC) analysis and the fuzzy k-means technique, also known as continuous classification, are useful for designing site-specific management strategies for varying soil properties within a contiguous area. The objective of this study was to identify appropriate soil health indicators as well as to create contiguous areas for precision management of a large diverse farm from measured soil properties. From the farm, which is sited on Armijo–Harkey soil, 286 loose and intact samples were obtained, representing a depth of 15 cm from the soil surface. Statistical analysis showed that several data were log-normally distributed. PCA analysis showed that the first three PCs explained 73% of the variation with PC1, consisting of factors related to the soil’s physical condition; PC2, containing factors related to chemical properties; and PC3, including factors related to macro- and micro-porosities. Minimizing the fuzziness performance index (FPI) and modified partition entropy (MPE) delineated four management classes. The membership class maps showed that the contrasting management strategies could be developed for the four management zones to achieve yield goals while conserving scarce surface water for irrigation, increasing water use efficiency, and decreasing nitrate leaching in arid and semi-arid irrigated farmlands. Full article
(This article belongs to the Special Issue Planning and Sustainable Management of Irrigation in Agricultural Operations)
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