1. Introduction
Quite a handful of studies on environmental sustainability turned up after the 1987 Bruntland report (Commission mondiale sur l’environnement et le développement, 1991), but since the emergence of the United Nations’ Millennium Development Goals [
1], there has been an explosion of research from different regions globally and disciplinary perspectives, with ample evidence that water security is critical if we are ever to achieve the 2015 United Nations Global Goals of planetary sustainability. Nowadays, the priorities of global-scale sustainability initiatives are only construed when they are intimately linked to quantifiable field results. For this reason, [
2] appropriate present-day sustainability studies to serve as a valuable starting point for sectoral research, such as sustainable water use in agriculture. So why is the sustainability of farm water use, otherwise known as agricultural water use, so important?
The answer traces its provenance at least to its vital role in food security and as a critical component for agricultural production, with numerous applications, spanning mainly irrigation, livestock sustenance, aquaculture, pesticide, and fertilizer application [
3], as well as along the value chain, including food processing and preservation [
4]. Water is vital for everyday domestic uses, including cooking, drinking, and hygiene [
5,
6]. As [
7] emphasizes, the influential role of water in human and physical development and its innate relevance in sanitation, health, and poverty reduction cannot be overstated. However, estimates range widely, centering on the calculation that roughly 160% of the world’s available water volume will be needed to meet global water demands by 2030 [
8,
9], with an increasing number of regions (47% of the world’s population) being exposed to immense and higher water pressure [
10,
11].
The water use literature outlines a number of core drivers underpinning global water demands and pressures. However, the greatest persistent unifying element in issues presented by global and regional scale research on water sustainability has a shared denominator: agricultural pressure on available global water emanating not just from livestock and cropping operations, but also including aquaculture, triggering increased expansion and intensification to satisfy the increased demand for food owing to the rising population and rapidly changing diet, including a higher intake of animal-based foods [
12,
13]. For example, global crop production has surged exponentially, mainly due to the continual expansion of agricultural land, with irrigation playing a critical role in enhancing crop productivity and improving rural livelihoods. Empirical evidence suggests that irrigated agriculture accounts for 20% of all farmed land and contributes 40% of food produced globally [
14]. Following [
15], irrigated agriculture is the world’s top user of freshwater, responsible for nearly 70% of total use. But irrigated agriculture is also twice as productive per land unit compared to rainfed agriculture, permitting greater production intensification and crop diversification. Yet, the widespread demand for irrigation, excessive subsidies, and lax regulation is exerting undue pressure on freshwater resources. As the demand for water climbs higher than traditional sources of supply (water demand in ~80 countries already exceeds supply), many nations around the globe are experiencing water stress and scarcities [
9,
16,
17], sparking conceptual and empirical debates regarding agricultural water sustainability for future global food security, since achieving global food security will be unattainable if agricultural water use is unsustainable [
16].
Because freshwater has long been a critical pillar of food production, it is evident that the water demand for feeding the world’s future population would be enormous. Unfortunately, these demands will have to be met in an era where the fresh water available for agriculture (72%) is decreasing [
17], and severe issues (i.e., extreme weather events, climate change, increased population, pollution, etc.) threaten its sustainability. Reference [
18] likened the effect to the COVID-19-induced economic downturn in the worst-affected economies between 2020 and 2021, but noting that for water issues, the consequences would perhaps linger longer. While these would mainly affect water quantity, as per the emphasis of most of the available literature on water security, various issues lurk just beneath the surface of the water quality delivered to agriculture. Reference [
19] summarizes major considerations, either explicitly or implicitly, that have contributed to and may continue to plague the availability of high-quality agricultural water in various countries around the globe. They describe these in terms of (i) increased cropping intensity on already farmed lands utilizing more water per unit area cultivated—in other words, vertical expansion of irrigated agriculture, resulting in land degradation and related water resource depletion in certain regions; (ii) inherited water scarcity in some regions due to their geographic position, where rainfall is rather low, groundwater use is not viable owing to economic, political, and technical factors—placing water treatment options on economic restrictions and mobility of good-quality water from other areas is not plausible; (iii) increased domestic and industrial use of quality water—thanks to population growth aided by higher household living standards and, as the global population of approximately six billion people is expected to grow by 25–80 % over the next 50 years. Meanwhile a majority of anticipated global population growth is likely to occur in Third World Nations, which are already faced with health, water, and food crises; (iv) horizontal expansion of irrigated agriculture, including the cultivation of crops in new areas requiring more water. Expansion of this nature deteriorates surface- and groundwater quality, particularly in regions where marginal lands are cultivated without efficient management mechanisms; and (v) contamination of ground and surface water resources by a myriad of point and non-point pollutants. Therefore, the extant literature on agricultural water use must urgently be used to generate policies regarding water sustainability.
The impulse to action is all-time high, and varied techniques and models have been deployed to assess water resource sustainability. A range of structural factors that can promote water sustainability has been described in the literature. Some are targeted at the household level, while others are geared toward communal, regional, national, and global scales. For this reason, authors such as in [
13] and [
20] argued that understanding the influence of food production and population-level dietary preferences on water use is vital for sustainable water management and, in this instance, identifying sustainable diets (i.e., complete reduction of animal source foods) that promote human health and minimize environmental impacts is thus extremely warranted. Yet, reducing the amount of animal-based food in people’s diets does not necessarily equate to less water use, especially if animal-based food is substituted with plant-based food such as pulses and fruits, which are more irrigation-dependent [
21]. References [
8,
22] seized on treated household wastewater reuse to make the case for ensuring water sustainability, a perfect candidate for agricultural water use—partly due to its potential innate nutrient for plant growth. Although this mechanism has enjoyed some prominence wholly or—in many regions (arid and semi-arid) around the globe (for example, Africa, Southern Europe, Southern Asia, and Central America) [
23]—caveats exist in the literature regarding the complexity of estimating its future contribution to overall water resources [
8]; the proof, however, is at best tentative rather than definitive given the limited academic evidence.
Reference [
19] promoted the adoption of sustainable water resource management options and made a case for global, regional, and site-specific strategic options that entail; (a) understanding the essence of “virtual water” and its promising use as a global remedy to regional deficits, i.e., water-deficit countries could well import a portion of food crops or other commodities that demand more water and export those that require less water in production; (b) enhancing existing agricultural water use behaviors and conservation efficiencies, both in irrigated and rain-fed agriculture, i.e., to produce more with the existing resources; (c) re-use of saline and/or sodic drainage waters via blended, cyclic, or sequential methods for crop production systems [
22], and (d) adoption of efficient, economical, and ecologically compatible methods for the remediation of polluted waters [
19].
The authors of [
24], discussing the environmental efficiency of agricultural water use, explored the Luenberger Productivity Indicator proposed by [
25] and uncovered proof that supports that measuring tradeoffs between economic benefits of agricultural water use and its environmental pressures can help design regulatory frameworks for sustainable water resource management. Correspondingly, [
9] finds evidence that quantifying the ideation of ‘sustainable water development’ based on ideas from the original conception of sustainable development and industrial ecology, which ensures that increased water consumption is associated with economic and social development, and could aid policymakers and industry leaders in pursuing sustainable water policies. These studies focus on eco-efficiency, ensuring that resource efficiency is complemented by economic and social progress.
Other earlier attempts spotted in the farm water literature often relied on global hydrological models for their measurements in ensuring water sustainability. The key features of these models are that global water resources are affected not only by climate change but also by direct human influence, but selecting a global hydrological model increases the uncertainty (model specific result) of hydrological changes; thus, a multimodel approach is better suited for impact modeling studies [
26]. Reference [
27] reviews this assertion and the distinction between several global hydrological models and present empirical evidence on direct human impacts on the water cycle in some regions such as parts of Asia and the western United States. This strategy can work on both intragenerational and intergenerational time spans regarding global water availability and consumption, mirroring the Inter-Sectoral Impact Model Intercomparison Project (ISI-MIP) [
28] and Water Model Intercomparison Project (WaterMIP) within the European Union Water and Global Change (EU WATCH) project [
29,
30,
31]. Thus, [
27] underline the importance of accounting for anthropogenic water consumption in locations where direct human intervention is significant and areas where water consumption causes severe changes in land surface water fluxes. Singh (2014) [
32] discusses other water sustainability methods that combine simulation-optimization modeling for multi-objective problems suitable for the conjunctive use management and planning of ground- and surface-water resources for sustainable irrigated agriculture. However, instead of a single optimal solution, this resulted in a set of compromised solutions.
There are quite a lot of other studies—from global to regional outlooks—that touch on water sustainability regarding agriculture. In fact, the primary issues of the prevailing research attention on sustainable agricultural water use remain proper water resource allocation, analyzing vulnerability to natural catastrophes and other disasters, evaluating climate change impacts on water schemes, and management optimization [
2,
32,
33,
34,
35,
36,
37,
38,
39]. While the drive for sustainable agricultural water use is clearly warranted, the crucial question is, “how has sustainable agricultural water use research progressed over time?” Thus, this article explores Biblioshiny for bibliometric analysis to assess the current literature on the evolution of studies on sustainable use of water in agriculture, identifying which of the literature perspectives have witnessed the most attention and where future research areas might be directed. Similar to our study, [
40] covered sustainable agricultural water use research using the Scopus database, yet our article selection database is dissimilar, and our article identification queries and indicators are much broader. Although they identified top authors, articles, journals, and methodologies used within their survey, even so, the outcome of our study differs considerably.
In general, the study sought to present a review of scholarly publications in research on sustainable water use in agriculture over the previous decades, from 1990 to 2022. Thus, the following research questions are therefore addressed in this study:
How did research on sustainable water use in agriculture evolve intellectually between 1990 and 2022, measured by publications and citations?
Who are the worldwide research’s prominent institutions, nations, and authors?
Which journals and papers have the greatest impact?
Which publications have received the most citation or influence?
What are the research collaboration and authorship patterns?
What topics (trendy topics, keywords, keywords pluses, and themes) are associated with this research field?
The remainder of the paper is structured as follows. The materials and methods are briefly described in
Section 2, followed by the results and discussion in
Section 3, and finally, the conclusions are detailed in
Section 4.
2. Materials and Methods
Recent decades have seen a rise in scientific study. As a result, keeping track of relevant publications in one domain is becoming more and more of a bottleneck. This necessitates the development of quantitative bibliometric approaches capable of dealing with such a large amount of data, filtering out the most important works by assessing their influence and revealing the field’s underlying structure [
41]. We evoked the bibliometric technique introduced by Garfield & Sher (1963) [
42] to identify trends and core drivers of the published work on sustainable agricultural water use. As Zupic & Čater (2015) [
43] noted, bibliometric techniques use a quantitative approach to describe, evaluate, and monitor published research to provide a systematic, transparent, and reproducible review process, thereby enhancing review quality. It is a valuable technique used by scholars to base their inference on aggregated bibliographic data from other scientists in the field who communicate their viewpoints through writing, citation, and collaboration. Compared to agricultural water use research, the bibliometrics technique has enjoyed widespread application in management, nutrition, engineering, energy, biology, and medicine. As a result, we explored the Web of Science (WOS) database, using a Boolean search to retrieve relevant literature published between 1990 and 2022.
The research team used published research, keyword analysis of single databases, and their prior understanding of the subject to determine the keywords for the current study. The search queries include (TITLE-ABS-KEY (“water use” OR “water-use” OR “use of water”); AND TITLE-ABS-KEY (sustainability OR sustainable); AND TITLE-ABS-KEY (irrigation OR agricultur* OR farm* OR crop* OR agroecosystem)), with the largest period allowed in the database to cover all potential articles. Documents from this database was filtered to extract the essentials, then imported into biblioshiny, a web interface for bibliometrix developed by [
43]. For the sake of estimation subtleties, only articles and reviews published in the English language were examined, considering the most reliable scholarly contributions to the knowledge base under investigation, and the results were sorted by citation count, resulting in 4106 samples. The method comprises performance analysis and science mapping [
44]. Performance analysis examines publications in terms of authors, countries, and institutes. In contrast, science mapping employs bibliometric tools to identify trends in scientific research. Both add quantitative rigor to the subjective literature evaluation and provide evidence of theoretically defined categories in review articles [
41]. Specifically, we analyzed the following indicators: (i) overview, consisting the main information, annual scientific production, average citations per year and three-field plot; (ii) sources, including most relevant sources, most local cited sources, Bradford’s law, source impact, and source dynamics; (iiia) authors, covering most relevant authors, most local cited authors, authors’ production over time, Lotka’s law, author impact; (iiib) most relevant affiliations and affiliation production over time; (iiic) countries, corresponding author’s country, country scientific production, countries production over time and most cited countries; (iv) documents, including most globally cited documents, most locally cited documents, most locally cited reference, reference spectroscopy, most frequent words, wordcloud, treemap, word dynamics, and trendy topics; (v) clustering by coupling; (vi) conceptual structure, such as co-occurrence network, thematic map, thematic evolution, and factorial analysis.
4. Discussion
4.1. General Trends in the Literature on Sustainable Agricultural Water Use
Having perfectly laid out the summary statistics, we now succinctly discuss the results. However, to establish the following discussions, let us briefly issue a basic caveat to readers. First, note that we did not engage in rigorous sample data collection as with every bibliometric analysis. Nonetheless, we relied on fairly simple and relatively easily assessable primary data collection and the use of appropriate analytical techniques to assess what research has been done on the sustainable use of water in agriculture to generate a tenable research trajectory for the field. In the discussion that follows, we review a few selected sample results, which lay out some insights that scholars, institutions, and policymakers can harvest. Perhaps more importantly, the findings are not intended to be a complete rundown of the field, primarily as no formal criteria were used to select results. So, readers interested in the complete details of the dataset and methods explored, as well as the findings of each specific application, are encouraged to consult other comparable scholarly articles. Thus, our findings should be used to supplement, as against supplanting a comprehensive study.
This paper examined extant literature indexed in the WOS database on the sustainable use of water in agriculture. Using bibliometric metrics and data visualization tools, we explore Biblioshiny for Bibliometrix analysis to define the present research landscape on sustainable water use in agriculture—examining contributions of journals, authors, keywords, Keyword Plus, highly cited papers, institutions, and countries. The results show growing interest in sustainable water use in agriculture research regarding relevance, citations, and publications. The growing number of articles and citations in the field of sustainability studies is evidence of this. The findings also indicate that developed countries are home to the top journals, countries, and institutions in this sector. In a similar vein, advanced economies were shown to collaborate most frequently in research. This could be seen from the perspective of their cutting-edge global research. The approach emphasizes that those in high-income economies concentrate on the research and development (R&D) processes. In contrast, we find that the perspective of Latin America, Southeast Asia, and African authors are underrepresented in the set of literature. On the basis of this viewpoint, perhaps it may be expected that future research in the field of sustainable water use in agriculture may emerge from developing nations.
We also find that research output in this field has increased exponentially in the last decade, with a sharp growth of 94.78 percent. Over the same period, citations soared by 63.59 percent, with a noticeable increase between 2016 and 2022, where 86.37 percent (298) of the papers were published. The timeline spanning 2016 to 2022, on the other hand, featured the most persistent high pattern of productivity and citation frequency, as also made evident by the M-growth index across time. Moreover, regarding the highest number of citations, publications, and the highest-ranking for country-based co-occurrence analysis, we found that China is presently the world-leading in research on sustainable water use in agriculture. Similarly, China is also the home of Northwest A&F University, the institution with the foremost publications. These findings indicate that China could substantially influence the field’s research direction. The United States came in second in terms of total publications, citations, and international collaboration.
In terms of journals influence,
Agricultural Water Management (12% of total citations),
Field Crops Research (5.5% of total citations) and
Journal of Cleaner Production (2.4% of total citations) were the top three sources in terms of citations (19.9 percent of total citations). Regarding authors, the ones with the most papers were Yingjie Li (12% all articles), followed by Xiaoyan Wang (10.93% of all articles) and Yong Wang (10.81% of all articles).
Figure 9 displays trends in research on the sustainable use of water in agriculture from 1990 to 2022, spanning authors, institutions, journals, and countries. We find that most papers were collaborative with multiple authors. Publications with more than one author made up most of the documents—indeed, the largest proportion of publications. This is already a trend in academia regarding articles by several authors. Dual authorships are becoming common, and there are clear reasons why. For instance, the growing proclivity to collaborate with other researchers worldwide promotes greater specialization, expertise, funding, and split of labor [
103]. In addition,
Figure 9 depicts how the ties between countries, authors, journals, and institutions might provide valuable insights. Research on sustainable use of water in agriculture, for example, is generally published in agricultural water management, and scholars from the Northwest A&F University in Xianyang, China author most of the scholarly publications. In addition,
Figure 9 shows the interactions among the most active institutions, journals, and authors. Again, China and the United States have the most active authors with high-quality papers. Additionally,
Figure 9 portrays the interactions between the participating countries, institutions, and authors. Overall, China and the United States have grabbed the top spot with high citations and high-quality publications in this field of research.
4.1.1. Conceptual Structure of Factorial Analysis of Keywords and Thematic Evolution
The Biblioshiny interface for Bibliometrics analysis supports multiple correspondence analysis (MCA) to craft the conceptual structure of the subject area and K-means clustering to uncover clusters of publications conveying commonalities using the conceptual Structure-function [
104]. MCA does this by representing data as points in a low-dimensional Euclidean space. It is a variant of correspondence analysis (CA) and an exploratory multivariate method that allows examining the pattern of the relationship between numerous categorical variables using graphical and numerical analysis to find new latent variables, or factors. Thus, we explore this for our co-word analysis.
Figure 10a depicts the co-word network maps using authors Keyword Plus. Results are interpreted on their comparative positions (nearness of words) of points and their dispersion along the dimensions—closer words are more similar in distribution. K-means clustering seeks to classify data into constructive or appropriate clusters (categories). We found that the Factorial analysis of keywords Plus yielded new insights, which is categorized by MCA into four categories. We discovered that the group containing the words such as “drought”, “stress”, “photosynthesis”, and “response” is consistent with crop response to water management.
Figure 10b highlights the research’s theme evolution across time, as well as projected research directions. Over the past 32 years, there has been a noticeable shift in the research streams on sustainable use of water in agriculture. The rectangular and square shapes in
Figure 10b running from left to right, depict the chronological progression of various thematic evolutions. The remaining time (2021–2022) is shown on the right, and the left side displays the theme development from 1990–2013. The connections between the keywords are indicated by the grey link/lines connected to the various rectangle-colored shapes; for instance, the keyword sustainability is used with phrases such as “water use,” “ecosystem,” “climate change,” and “water footprint” and is consistent (from 1990 to 2022). In the 32 years (1990–2022) covered, the term “sustainability” was used the most frequently, followed by “irrigation” and “water use efficiency.” Sustainability has proven to be crucial.
4.1.2. Outlook of Future Research on Sustainable Use of Water in Agriculture
Figure 11 presents co-occurrence network mappings to showcase the trendy contemporary topics and future directions in sustainable agricultural water use research, sorted by topic area or date of publications. The keywords suggests that a range of crop water productivity models (for example AquaCrop used to derive deficit irrigation schedules), soil amendments (Biochar), and farm management systems (agroforestry, agricultural management, water use efficiency, diets, and no-tillage) are associated with the sustainable use of water in agriculture. Due to niceties, our discussion of trendy streams is limited to the first three. The following are the most recent keywords in this domain that signal future trends. They are classified based on five (5) Word Minimum Frequency and Number of Words per Year (>5 words).
- (a)
The “AquaCrop model” has become the most widely discussed topic in contemporary agricultural research on sustainable water use. In a world of increasing water scarcity (particularly in arid and semi-arid regions), deteriorating water quality, and climate change uncertainties and fluctuation, enhancing crop water use efficiency and productivity while reducing adverse environmental impacts is critical to meeting the growing food demand of the world’s increasing population [
105,
106]. This has birthed a wide variety of crop simulation models to tackle unsustainable water use, food security, and to explore how management and environmental factors influence crop production [
106]. Yet some of these models usually require a high number of input variables and parameters, which are not easily obtainable for a vast number of crops and habitats around the globe. Moreover, using these models by non-research end-users, for example, farmers, policymakers, and extension specialists, presents other serious challenges, as models typically require large and difficult-to-find datasets for calibration [
105]. To address these concerns, the United Nations Food and Agriculture Organization (FAO) devised AquaCrop, a crop-water productivity model that aims for a balance of simplicity, precision, user friendliness, and robustness, requiring a minimal number of explicit parameter values and relatively intuitive input variables, all of which can be obtained using simple techniques [
107]. Over the last 13 years, AquaCrop has been modified while maintaining its original purpose, i.e., to be a dynamic easily accessible tool to various user types, especially practitioner-type end users, in diverse fields and for a wide range of applications. Research scientists are now using AquaCrop for conceptualization and analysis as well. According to FAO, the new research offers important details on the tools’ applicability and recommendations for enhancing and improving the model and broadening its uses to boost water resource management and productivity [
108]. Although the FAO formally introduced the AquaCrop model in 2009 [
109], our metrics for word minimum frequency and word count per year reveal that it began to be widely used in 2017 and has followed this trajectory, thus making it a preferred crop model capable of formulating guidelines to increase crop-water productivity for rainfed and irrigated agriculture [
110], and it has enjoyed vast simulation for different crops under various farm water use systems in recent times [
111,
112,
113,
114,
115,
116].
- (b)
“Agroforestry” emerged second in the latest sets of keywords used by scholars in research on sustainable agricultural use of water. Since less than 1% of the water absorbed by the roots is used for photosynthesis and the majority of the water that enters the plant is lost through transpiration, controlling plant water losses by lowering evapotranspiration rates has been recommended as a potential method for sustainable use of water in agriculture [
117]. Among these recommendations, agroforestry has been extensively cited for its crucial role in increasing farm production while preserving water resources. The topic of agroforestry is ancient [
118,
119,
120], yet according to our metrics, interest in it has risen substantially in recent times, i.e., since 2018, specifically in relation to the sustainable use of water in agriculture.
Inspired by agroecological principles, agroforestry systems have been vigorously marketed for their positive effects on the environment, notably in terms of boosting soil fertility, enhancing microclimate, increasing carbon sequestration, boosting biodiversity, and enhancing water quality [
121]. In this context, agroforestry offers a microclimate beneath trees that helps control transpiration and water conservation while reducing evaporation losses [
122]. Perhaps the most significant attribute of agroforestry systems lies in the ability to stabilize and increase crop productivity in face of harsh climatic occurrences [
123], thus helping in crop sustainable water management. In practice, there are three major categories of agroforestry systems: (a) silvopastoral systems, consisting of forestry and the grazing of domesticated animals on rangelands, pastures, or farms; (b) agrisilvicultural systems, which combine trees and crops; and (c) agrosilvopastoral systems, this includes crops, trees, and animals [
121]. For the purpose of conserving soil and water, Kaushal et al. (2021) highlights that agroforestry techniques, including enhanced fallows, silvipastoral systems, home gardens, and alley cropping are most advantageous. Recent years have seen the development of innovative agroforestry technologies that not only offer sustainable production outputs but also effectively conserve water resources. However, the literature indicates that the adoption of these technologies has not been exactly encouraging [
122]. Given what we know about increasing trends of climate change and variability, decreased precipitation, and increased competition for water resources, agricultural production may become more unpredictable; thus, agroforestry research will likely remain a hot topic in promoting the sustainable use of water in agriculture. As a result, it is urgently necessary to quantify the benefits of water conservation, particularly through agroforestry systems, in monetary terms and include them in policy programs.
- (c)
“Biochar” is a pyrolyzed biomass-based soil amendment that boasts a carbon-rich matrix with high porosity, thereby increasing water retention capacity. According to research, biochar can be utilized to promote sustainable water conservation, thus stimulating crop growth [
124,
125]. Long-term droughts are common in arid and semi-arid regions and are likely to be exacerbated by climate change. As a result, increased water retention capacity of crops is being pushed, since it may lower water costs in agriculture throughout these water-stressed regions and ease pressure on water resources. Abstractly, it has been suggested to sustainably enhance soil functions (under present and future management) while reducing potential trade-offs, and it is now being factored into the equation for international policy development, for instance, in the Intergovernmental Panel on Climate Change (IPCC) and Land [
126,
127]. Besides this benefit, the authors highlight that biochar properties could be “custom fit,” to better address distinct soil natural constraints without impairing other soil functions. For example, Batool et al. (2015) [
128] found evidence that water use efficiency significantly increased in plants containing Biochar as compared to untreated plants after studying potential of soil amendments in boosting the water use efficiency of Abelmoschus esculentus.
5. Conclusions
Worldwide research on sustainable water uses in agriculture have developed rapidly over recent decades, and a range of structural factors that can promote water sustainability has been described in the literature using different models and methodologies. Some are targeted at the household level, while others are geared toward communal, regional, national, and global scales. From a set of 4106 documents, we use Biblioshiny for Bibliometrix analysis to evaluate how scholarly research on sustainable water use in agriculture has evolved, which perspectives are most influential, and highlighted research agendas that are meaningfully pushing the literature set forward. Bibliometric analysis assists in examining publication trends and patterns to capture the essence and level of productivity of a discipline and to assist researchers in choosing what to publish and where to publish while taking into account the productivity of the subject, most relevant journals, countries, authors, thematic evolution, institutions, etc. The proportion of publications and citations has continuously increased during the past few decades. Furthermore, no discipline controls the active research field of sustainable water use in agriculture. Results indicate that the literature on sustainable water use in agriculture has been shaped by diverse country- and institutional-level actors.
We also found that the top three most prominent Affiliated institutions producing publications allied to research on the sustainable use of water in agriculture are Northwest A&F University in Xianyang, China (373 articles), China Agricultural University (287 articles), and Hohai University in Nanjing, China (114 articles), thus representing the most influential journals shaping the research field. The top three countries are China, USA, and Australia, accounting for 45,039 (43.4%) of the total 103,900 global citations. This indicates that collaborations are mostly limited to the country in which they originate, and these affiliations may act as a catalyst for expanding worldwide studies on sustainable use of water in agriculture. Using data visualization and content analysis articles sorted through bibliometric citation analysis, five current research streams were identified in the literature advocating for the use of the aquacrop model, agroforestry, biochar, no-tillage, and diet, to promote the sustainable use of water in agriculture. However, there are still several gaps to fill. Perhaps the most pressing of these is a call for more comparative studies from the aforementioned under-represented countries. Given the abundance of studies on sustainable water use in agriculture and the unlikelihood for a single database to present a complete picture of a research field with global impact such as this, other research areas deserving further exploration could be to leverage other databases and/or combining the two primary bibliographic databases such as Clarivate Analytics Web of Science (WoS) and Scopus. Finally, the Biblioshiny for Bibliometrix analysis of the papers published on sustainable water use in agriculture is of high importance for researchers in identifying the most active authors, countries, journals, and institutions, examining research hot spots, and forecasting the research trends on sustainable water use in agriculture.