Search Results (212)

This study employs k-means clustering to analyze local organizations responsible for land improvement in Greece, identifying four distinct groups with consistent geographic patterns but divergent financial and operational characteristics. By integrating unsupervised machine learning with spatial analysis, the research offers a novel perspective on irrigation water pricing and cost recovery. The findings reveal that organizations located on islands, despite high water costs due to limited rainfall and geographic isolation, tend to achieve relatively strong financial performance, indicating the presence of adaptive mechanisms that could inform broader policy strategies. In contrast, organizations managing extensive irrigable land or large volumes of water frequently show poor cost recovery, challenging assumptions about economies of scale and revealing inefficiencies in pricing or governance structures. The spatial coherence of the clusters underscores the importance of geography in shaping institutional outcomes, reaffirming that environmental and locational factors can offer greater explanatory power than algorithmic models alone. This highlights the need for water management policies that move beyond uniform national strategies and instead reflect regional climatic, infrastructural, and economic variability. The study suggests several policy directions, including targeted infrastructure investment, locally calibrated water pricing models, and performance benchmarking based on successful organizational practices. Although grounded in the Greek context, the methodology and insights are transferable to other European and Mediterranean regions facing similar water governance challenges. Recognizing the limitations of the current analysis—including gaps in data consistency and the exclusion of socio-environmental indicators—the study advocates for future research incorporating broader variables and international comparative approaches. Ultimately, it supports a hybrid policy framework that combines data-driven analysis with spatial intelligence to promote sustainability, equity, and financial viability in agricultural water management. Full article

In response to the challenges of water scarcity in agricultural irrigation in plain areas, especially in the context of the urgent need to improve water resource management efficiency, this study introduces an innovative “electricity-driven water conservation” management concept. The core idea is to accurately calculate water usage by analyzing irrigation electricity consumption data and formulate water pricing strategies based on this to effectively control the total irrigation water usage. This approach is of significant importance for promoting agricultural water conservation and enhancing water resource utilization efficiency. To achieve this goal, we propose an “electricity-driven water conservation” control method based on an agricultural irrigation coordination management system. This method is simple to operate, has low labor costs, and provides grassroots managers with transparent water usage information through an intelligent platform, enabling real-time remote control of irrigation facilities. In 2022, this control method was tested in a specific area of Shuyang County, Suqian City, Jiangsu Province, China. The results demonstrated that the annual water-saving rate in the region improved from −1.71% before implementation of the control method to 0.09%, proving the effectiveness of this approach in enhancing irrigation water conservation in plain areas. This study provides valuable insights for promoting the efficient utilization and sustainable development of agricultural water resources. Full article

The modernisation of irrigation networks has enhanced water use efficiency but increased energy demand and costs in agriculture. Energy recovery (ER) is possible by utilising excess pressure to generate electricity with pumps as turbines (PATs), offering a cost-effective alternative to traditional turbines. This study assesses the use of PATs in pressurised irrigation networks for recovering wasted hydraulic energy, employing the particle swarm optimisation (PSO) algorithm for PAT sizing based on two single-objective functions. The analysis focuses on minimising the payback period (MPP) and maximising energy recovery (MER) at specific excess pressure points (EPPs). A comparative analysis of values for each EPP and objective function is conducted independently in Sector II of the Canal del Zújar Irrigation District (CZID) in Extremadura, Spain. A sensitivity analysis on energy prices and installation costs is also performed to assess socioeconomic trends and volatility, examining their effects on both objective functions. The optimisation process predicts an annual ER for an average irrigation season using 2015 data ranging from 9554.86 kWh to 43,992.15 kWh per PATs from the MER function, and payback periods (PPs) from 12.92 years to 3.01 years for the MPP function. The sensitivity analysis replicated the optimisation for the years 2022 and 2023, showing potential annual ER of up to 54,963.21 kWh and PPs ranging from 0.88 to 5.96 years for the year 2022. Full article

In recent years, the energy policies of both Spain and the European Union have pursued the development of renewable energies, including solar power. One way these installations will appear in the Region of Murcia is on bodies of water, which do not alter existing land uses, but ground-mounted solar energy installations do bring about such changes. The Region of Murcia is located in the south-eastern quadrant of the Iberian Peninsula. Positioned on the leeward side of the westerly zonal circulation, characteristic of mid-latitudes, and influenced by the layout of the Betic mountain ranges that cross it from north-west to south-east, it experiences significant scarcity and irregularity of rainfall. In contrast, it benefits from an abundance of sunlight, with more than 3400 h of sunshine per year. This makes it one of the most productive locations for capturing solar energy and converting it into electricity. As a result, the land occupied by photovoltaic parks has increased at the expense of dry farming areas, irrigated land, and woodland. High energy prices have also led to self-consumption measures, with solar panels being installed on the roofs of industrial buildings, floating panels in irrigation reservoirs, photovoltaic solar farms associated with desalination and lift irrigation pumps, and pressure required by localized irrigation, etc. Full article

The intensification of agricultural practices, such as the extensive use of synthetic fertilizers, the expansion of irrigation systems, and land use conversion, has led to substantial biodiversity loss and the disruption of ecosystem functions. Traditional washing procedures for fresh produce involve substantial water usage and can generate wastewater, which requires proper management to prevent environmental contamination. By skipping the washing stage, these reduced water and energy inputs contribute to more sustainable agricultural practices. Although this approach may benefit sustainability and the environment, the market success of a product with a sustainable attribute ultimately depends on consumer acceptance and their willingness to pay (WTP) for it. This study investigates consumer preferences and WTP for a local potato variety called “Agria”, with a specific focus on the sustainability attribute concerning the sale of washed versus unwashed potatoes. We conducted an experimental study with consumers in northeastern Spain, where this potato variety is grown, and simulated market shares under varying price scenarios. The methodology involved a choice experiment that evaluated three characteristics: price, local origin, and presentation (washed versus unwashed). The methodology also incorporated attribute non-attendance (ANA) to capture all aspects of the decision-making process. The findings reveal that consumers preferred the locally grown variety over those from other origins and were willing to pay a premium. Although consumers preferred washed potatoes, they would purchase unwashed potatoes at a discount price of EUR 0.2/kg. The results provide marketing and pricing strategies for local producers and retailers and market share projections aligned with consumer preferences for local food. Empirically, the study contributes to the literature on consumer preferences and sustainable food systems by (i) integrating the “washed versus unwashed” attribute with local origin to inform more effective marketing strategies; and (ii) supporting local potato growers through the identification of viable lunch strategies for a differentiated, unwashed product that extends shelf life, reduces food waste, and promotes sustainability by lowering water and energy use in post-harvest processing. For methodologically, it applies ANA in the context of potato choice experiments—an approach rarely used in this domain—to enhance the understanding of consumer decision-making. Full article

Water scarcity and pollution are critical challenges affecting agriculture and aquatic ecosystems. This study evaluates the environmental benefits of using reclaimed water (RW) for irrigation in southern Spain by applying a comprehensive cost–benefit analysis (CBA) to a water reuse project. This method allows us to assess financial feasibility and environmental externalities of RW use for irrigation, with particular focus on the reduction in eutrophication and greenhouse gas emissions. Furthermore, the proposed CBA highlights the potential of RW to provide essential nutrients for crops, reduce reliance on synthetic fertilizers, and mitigate the ecological impact of fertilizer manufacturing and transportation. Results indicate that, while the direct financial returns of RW are limited, the integration of environmental benefits significantly improves the overall economic viability of water reuse projects. Furthermore, sensitivity analyses suggest that policy measures, such as adjusted water pricing and financial incentives, could enhance the adoption of RW in agriculture. This study supports the role of RW as a sustainable alternative for irrigation, contributing to water conservation, pollution reduction, and climate resilience. Future research should focus on long-term agronomic impacts, optimized pricing models, and policy frameworks that promote water reuse as a key strategy in sustainable water management. Full article

Climate change-induced floods and droughts pose significant threats to rice farm development in Indonesia, particularly in regions reliant on pump-based irrigation systems. The urgency of this study lies in the increasing vulnerability of rice production to extreme weather events, necessitating institutional adaptations to enhance irrigation sustainability and financial risk sharing. This study examines the role of irrigation institutions in supporting sustainable rice farming in Wajo District, Indonesia. Using a case study approach, qualitative data were collected from four irrigation service provider (ISP) units across three subdistricts through in-depth interviews and focus group discussions. The analysis focuses on institutional mechanisms, including irrigation payment structures, input credit systems, and cost-sharing arrangements. The findings reveal that institutional frameworks are crucial in mitigating financial risks by promoting adaptive payment schemes and equitable cost-sharing mechanisms. Farmers’ access to critical agricultural inputs, such as fertilizers and pesticides, is enhanced through collaborative financing models, ensuring resilience against climate-induced production risks. However, variations in institutional support led to disparities in irrigation fees, credit access, and financial sustainability across study sites. This study underscores the need for risk-based irrigation pricing models and public–private partnerships to invest in climate-resilient infrastructure, such as water storage facilities and sustainable irrigation systems. In conclusion, it is important to remember that each of us, including agricultural policymakers, researchers, and stakeholders, plays a crucial role in implementing these solutions. By strengthening institutional governance, promoting flexible financial mechanisms, and integrating climate-adaptive pricing models, we can all contribute to enhancing the long-term sustainability of rice farming in Indonesia. Full article

The production of organic strawberries (Fragaria × ananassa) in Texas is becoming more popular because consumers prefer locally grown berries and are willing to pay premium prices. However, local climatic conditions pose a high risk for insect problems and fungal diseases; hence, effective pest and disease management strategies are needed. Developing effective and safe methods of producing organic strawberries is necessary for meeting local consumer demand. Therefore, the objective of this study was to evaluate the impacts of selected commercially available soil-applied biopesticides on yield and the quality of Camino Real strawberries established using bare roots on plastic mulch-covered beds with drip irrigation. The ten biopesticide treatments were replicated three times in a completely randomized design. The berries used for this study were subsampled from harvests made in mid-April, late April, and mid-May 2019. Yield, biometrical characteristics, and physicochemical analyses such as pH, acidity, total soluble solids, sugars and organic acid contents, firmness, and instrumental color were determined for fresh strawberries after each harvest period. Experimental data were analyzed using the PROC Mixed model procedure. The effects of the soil-applied biopesticide treatments on strawberry yield varied. The results of strawberry yield suggest that biopesticides applied at the right time and frequency have the potential to perform at similar levels to their conventional counterparts. Camino Real strawberries treated with biopesticides, harvested during mid-April, late April, or mid-May, exhibited acceptable flavor based on the recommended values of TA and TSS for strawberries. The biopesticides showed no negative effects on yield and fruit quality and thus they could serve as alternatives to conventional products used. Full article

Pomegranate cultivation has gained interest in Italy, driven by the tree’s drought tolerance and temperature requirements, which make it a suitable alternative crop for farmers transitioning from traditional options like olives, cereals, or vineyards. Despite its increasing popularity, particularly in Southern Italy, fragmented knowledge of this crop hinders its diffusion. This review addresses these gaps by synthesizing knowledge across agronomy, crop protection, economics, and managerial aspects. Also, the current review identifies challenges and opportunities for pomegranate farmers. It offers insights into different irrigation, fertilization, and training systems and different soil management strategies by identifying suitable cultivars according to the market outcome. Furthermore, this review examines the main biotic threats, such as the fungal diseases affecting this crop all over the world and in Italy. Moreover, the work explores the extent to which abiotic factors like drought, salinity, and extreme temperatures are responsible for fruit injuries and reduced marketability. Lastly, this review collects market figures on pomegranate production by identifying challenges that undermine market development and discusses managerial strategies to increase the profitability of this crop while avoiding price competition from non-European countries. Therefore, this detailed review, combining knowledge from multiple disciplines, will support the Italian pomegranate sector’s growth, ensuring farmers’ long-term profitability and environmental sustainability according to the EU’s Farm to Fork strategy. Full article

With the gradual cessation of budget quota standards and the emphasis on market-based pricing, accurately predicting project investments has become a critical issue in construction management. This study focuses on cost indicator prediction for irrigation and drainage projects to address the absence of cost standards for farmland water conservancy projects and achieve accurate and efficient investment prediction. Engineering characteristics affecting cost indicators were comprehensively analyzed, and principal component analysis (PCA) was employed to identify key influencing factors. A prediction model was proposed based on support vector regression (SVR) optimized using the dung beetle optimizer (DBO) algorithm. The DBO algorithm optimized SVR hyperparameters, resolving issues of poor generalization and long prediction times. Validation using 2024 farmland water conservancy project data from Liaoning Province showed that the PCA–DBO–SVR model achieved superior performance. For electromechanical well projects, the root mean square error (RMSE) was 1.116 million CNY, mean absolute error (MAE) was 0.910 million CNY, mean absolute percentage error (MAPE) was 3.261%, and R² reached 0.962. For drainage ditch projects, RMSE was 0.500 million CNY, MAE was 0.281 million CNY, MAPE was 3.732%, and R² reached 0.923. The PCA–DBO–SVR model outperformed BP, SVR, and PCA–SVR models in all evaluations, demonstrating higher prediction accuracy and better generalization capability. This study provides theoretical support for developing cost indicators for farmland water conservancy projects and offers valuable insights for dynamically adjusting national investment standards and improving construction fund management. Full article

Photovoltaic energy is increasingly used in irrigation processes, particularly in arid regions, to pump water from rivers to fields. Rising oil prices, global warming, and the limited availability of fossil fuels have increased the need for alternative energy sources. This study focuses on the design and implementation of a transformerless single-phase photovoltaic system that powers a single-phase induction motor to drive a centrifugal water pump. The methodology aims to achieve the best system performance. A DC–DC boost converter maximizes the output voltage by utilizing maximum power point tracking (MPPT) and extracting the maximum power from the photovoltaic (PV) array. A bidirectional buck-boost converter charges the battery from the DC bus and discharges the battery voltage to the DC bus for loads. The DC voltage is then converted to AC output voltage using a single-phase inverter, which supplies power to the single-phase induction motor driver (IMD). The voltage/frequency (V/f) scaler control is used for a single-phase induction motor. The system employs scalar motor control to achieve the maximum motor speed required to operate the centrifugal water pump efficiently. All results and simulations are carried out in MATLAB/Simulink R2019a version and are compared for different motor and PV parameters numerically. Full article

This study assesses the impact of two regulated deficit irrigation (RDI) and one sustained deficit irrigation (SDI) strategies on the fruit quality characteristics of pomegranate (Punica granatum L.) compared to a fully irrigated control in a Mediterranean climate. Field trials were conducted over two growing seasons at the Cajamar Experimental Center in Paiporta, Valencia, Spain. The SDI strategy, which achieved considerable water savings of approximately 50%, led to a reduction in yield (both total and marketable), as well as a decrease in the size and unit weight of the fruits. However, it also produced arils with higher dry matter content and aril juice with higher soluble solids content, all without altering the maturity index. Notably, the SDI approach resulted in increased non-marketable production due to a higher incidence of cracking, particularly during the exceptionally hot and dry summer of 2023. Although the maturity index remained unchanged across the irrigation strategies, the SDI yielded a greater percentage of pink-red rind on marketable fruits compared to the other strategies. This is important because ‘Mollar de Elche’ pomegranates are typically harvested based on their external colour. Thus, the SDI strategy could allow for earlier harvesting, potentially enhancing the commercial value, as earlier harvests often command higher prices, which may partially offset some of the reduction in marketable yield. Conversely, both RDI strategies achieved a slight water saving without compromising marketable yield or the quality characteristics of the fruit. Full article

The comprehensive reform of agricultural water prices is an important component of China’s agricultural water conservation strategy and is highly important for ensuring national water security and sustainable agricultural development. Given the difficulty in raising water prices due to the limited carrying capacity of farmers in the reform, there is a pressing need to consider the implementation of agricultural water price sharing as a potentially viable strategy. Based on the grain production data from 2000 to 2018, the proportion of agricultural water prices borne by farmers and governments in different regions were calculated via the C-D production function method and the “Mitchell scoring + Expert scoring” method in the study. The results revealed that the average sharing coefficient of irrigation benefits for grain crops in China is 0.245. The sharing proportion of agricultural water prices for farmers in seven major geographical regions are ranked as follows: Northwest China (0.467) > Central China (0.427) > Southwest China (0.389) > Northeast China (0.358) > North China (0.319) > East China (0.312) > South China (0.163), while the sharing proportion of the government is 0.533, 0.573, 0.611 0.642, 0.681, 0.688, and 0.837. We proposed a systematic approach that directly ties cost distribution to the benefits received, and determined the proportion of agricultural water prices shared by farmers and governments, which is in line with the farmers’ economic interests and psychological demands. Furthermore, suggestions were proposed regarding the implementation of a rational agricultural water price-sharing policy. Full article

Irrigation plays a pivotal role in Southern Europe, and its importance is expected to further increase due to rising climatic variability. Concurrently, the European Water Framework Directive (WFD) mandates the safeguarding of water bodies and the implementation of incentive pricing strategies to promote efficient water management. Within this context, Irrigation Scheduling Decision Support Systems (IS-DSS) could contribute to the achievement of these objectives, although there are still obstacles to their adoption due to uncertainties regarding their potential benefits. This paper aims to derive a pricing model that reflects actual water use through the adoption of an IS-DSS. The innovation of this study lies in showing that adopting an IS-DSS to reduce irrigation volumes can potentially lower concession fees in collective irrigation systems. Thus, it contributes to the fulfilment of the WFD’s objectives regarding incentive water pricing. Notably, the tool is evaluated using the case study of a farm located in the Mediterranean region. The results demonstrate the dual benefits of IS-DSS adoption: on the one hand, it helps preserve water resources with a 24% reduction in irrigation volumes; on the other, it decreases irrigation costs by 20% at the farm level and by 9.4% at the irrigation district level. Therefore, the presented study provides insights into the potential of IS-DSS to enhance water pricing policies to promote efficient water management in Southern European agriculture in alignment with the WFD requirements. Full article

Sophisticated irrigation agriculture may be required for global food security. In Saskatchewan, irrigation requires a large electrical input, and within the current electrical utility landscape, any new demand exacerbates the use of fossil fuels. With cost decreases, renewable energy is increasingly techno-economically viable. Using HOMER Pro software (Version 3.16.0), this study aims to quantify the viability of renewable energy to support irrigation projects. The evaluation includes the modelling of the three following scenarios: conventional, optimized and 100% renewable. Further, sensitivity has been considered for utility rates, grid interaction and carbon pricing. The lowest cost systems propose the inclusion of some renewable energy. Depending on the system architecture, the analyzed energy systems can be as low as $0.02/kWh or as high as $1.12/kWh. The efficacy of renewable integration is particularly dependent on the sensitivity surrounding grid interaction. Full article