Agricultural Water Management最新文献

{"title":"Assessing variation, components, and driving factors of the water footprint for tobacco production in China","authors":"Jinsong Ti ,&nbsp;Zhao Zhang ,&nbsp;Yikuan Fan ,&nbsp;Yi Chen ,&nbsp;Haobin Zhao ,&nbsp;Renfeng Sun ,&nbsp;Xiaobo Xu ,&nbsp;Wenshuai Dong ,&nbsp;Fan He ,&nbsp;Shuo Wei","doi":"10.1016/j.agwat.2025.109459","DOIUrl":"10.1016/j.agwat.2025.109459","url":null,"abstract":"<div><div>Effective management of water resources is critical for ensuring agricultural sustainability and addressing global water scarcity exacerbated by agricultural intensification and climatic variability. The water footprint (WF) offers a robust tool to assess agricultural water use, yet its application to China’s tobacco industry remains underexplored. This study examines the spatial and temporal dynamics of the WF in China’s tobacco production from 2004 to 2020, identifying key drivers to reveal its impact on water resources. Results indicate a national decline in tobacco WF, primarily driven by yield increases, though regional variations are pronounced. Northern China (NC) recorded a total WF (TWF) of 3.7 G (1 G = 10⁸ m³), dominated by blue WF (47.0 %), while Southwestern China (SWC) topped at 47.6 G, led by green WF (60.8 %). The Lower Yellow/Huai River (YHR), mid-basin Yangtze River (MYR), and Southeastern China (SEC) registered TWFs of 12.5 G, 13.0 G, and 7.8 G, respectively, with green WF prevailing in MYR (54.3 %) and SEC (66.4 %). Spatial clustering analysis highlights MYR’s high WF and low yield, signaling inefficiency, contrasting with NC’s low WF and high yield, marking it as the most water-efficient region. These insights inform strategies to optimize water management, boost efficiency, and promote sustainable tobacco production in China, addressing regional disparities and resource pressures.</div></div>","PeriodicalId":7634,"journal":{"name":"Agricultural Water Management","volume":"312 ","pages":"Article 109459"},"PeriodicalIF":5.9,"publicationDate":"2025-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143704710","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"High spatio-temporal resolution soil moisture nowcasting at multiple depths with data-driven approaches","authors":"Yuxi Zhang ,&nbsp;Niranjan Wimalathunge ,&nbsp;Sebastian Haan ,&nbsp;Jie Wang ,&nbsp;Xinglong Zou ,&nbsp;Thomas Bishop","doi":"10.1016/j.agwat.2025.109457","DOIUrl":"10.1016/j.agwat.2025.109457","url":null,"abstract":"<div><div>Soil moisture nowcasting provides valuable information for site-specific management in dryland cropping systems. The increasing publicly available data streams have made it possible to capture soil moisture across the profile at fine spatiotemporal resolution. While many studies have applied data-driven approaches, they are generally limited to moderate to coarse spatial resolution and focus on the soil surface. This study investigated the importance of water-related features and showcased a data-driven practice that integrate multi-source water-related data streams for high-resolution soil moisture nowcasting (&lt; 100 m, daily) throughout the soil profile. The models were evaluated with a series of cross-validation experiments, including spatial interpolation, temporal prediction, spatio-temporal prediction, gap-filling and spatial extrapolation. The best performance was observed in the Adelong Creek catchment using RF, with ubRMSE= 0.051 m³/m³, R= 0.85, and LCCC= 0.82 for spatial interpolation; ubRMSE= 0.041 m³/m³, R= 0.89, and LCCC= 0.89 for temporal prediction; ubRMSE= 0.051 m³/m³, R= 0.85, and LCCC= 0.72 for spatio-temporal prediction; and ubRMSE= 0.062 m³/m³, R= 0.76, and LCCC= 0.73 for spatial extrapolation. Additionally, XGBoost achieved the best performance for gap-filling, with ubRMSE= 0.025 m³/m³, R= 0.96, and LCCC= 0.96. Our work has the potential to provide an information platform for growers to monitor and understand soil moisture at fine resolution in the future.</div></div>","PeriodicalId":7634,"journal":{"name":"Agricultural Water Management","volume":"312 ","pages":"Article 109457"},"PeriodicalIF":5.9,"publicationDate":"2025-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143704707","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Warming increases root water uptake on the Qinghai-Tibet Plateau via changes in alpine meadows root tips","authors":"Baisha Weng ,&nbsp;Siying Yan ,&nbsp;Haotian Fang ,&nbsp;Bin Deng","doi":"10.1016/j.agwat.2025.109438","DOIUrl":"10.1016/j.agwat.2025.109438","url":null,"abstract":"<div><div>Climate warming has been documented to amplify evapotranspiration (ET) in alpine meadows through multifaceted mechanisms. However, how root tip morphological adjustments—a critical control point for belowground water acquisition—mediate warming-induced ET intensification remains unresolved at the ecosystem scale, particularly across the Qinghai-Tibet Plateau (QTP) where these processes govern regional hydrological sustainability. This study employed a five-year field experiment using open-top chambers along an altitude gradient in central QTP, used root morphology parameters such as root tip density (RTD) as an entry point to explore the morphological characteristics of the root system under climate change, and improved the root water uptake model based on the distribution function of RTD to analyze the effects of warming on the water uptake pattern and transpiration characteristics of the root system of alpine meadow on the QTP. Key findings revealed that: (1) Root morphological adaptation: Increasing temperature promotes the growth of root in alpine meadows. About 80 % of the roots are distributed in the 0–25 cm soil layer, and the RTD first increases and then decreases with the increase of soil depth. (2) Altitude-specific water uptake: In lower altitude areas, the root water absorption intensity is higher. Under warming treatment, the root water absorption intensity first increases and then decreases with soil depth, with the highest root water absorption intensity in the 5–20 cm soil layer. (3) Transpiration amplification: For different climate change scenarios, for every 1 ℃ increase in soil surface temperature, the transpiration of the alpine meadow on the QTP will increase by about 21.2∼22.43 %. During the growing season of the alpine meadow, the transpiration increase in August is as high as 24.62∼25.87 %. The study highlights a mechanistic link between root functional traits, soil thermal regimes, and ecosystem water fluxes. The study helps to understand the hydrothermal balance under climate change and provides theoretical support for ecological restoration in high-cold regions.</div></div>","PeriodicalId":7634,"journal":{"name":"Agricultural Water Management","volume":"312 ","pages":"Article 109438"},"PeriodicalIF":5.9,"publicationDate":"2025-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143698026","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evaluating alternative crops as a solution to water stress in the U.S. Southwest","authors":"Noah Silber-Coats ,&nbsp;Emile Elias ,&nbsp;Katherine Fernald ,&nbsp;Mason Gagliardi","doi":"10.1016/j.agwat.2025.109439","DOIUrl":"10.1016/j.agwat.2025.109439","url":null,"abstract":"<div><div>One possible response to increasing water scarcity in the U.S. Southwest is to shift agriculture to less water-intensive crops. This article provides the first comprehensive review of such crops for the region, identifying more than 70 possibilities. These include efforts to breed drought-tolerant cultivars of widely grown crops, native wild plants considered for domestication, and heritage crops which could be revitalized.</div><div>We review literature on these crops and evaluate their potential viability. We assess water-related benefits by comparing crop evapotranspiration (ET_c) or irrigation requirements with those of alfalfa, the most widely grown and among the most water-intensive crops in the region. Crops selected for consideration can be grown with less than half the water requirement of alfalfa, can tolerate lower quality (i.e., saline) water, or shift the timing of water demand away from periods of greatest stress.</div><div>In addition to water-related benefits, many of the candidate crops are linked to other positive social and environmental outcomes, such as supporting alternative localized food systems. However, widespread adoption of alternative crops may be constrained by high costs, uncertain markets, or lack of familiarity among both producers and consumers. Considering this context, we identify two main groups of high-potential alternatives: forage crops that can replace alfalfa in beef and dairy supply chains, and high-value niche food crops that can provide options for small farmers and underserved communities. The first group includes crops such as teff, millets, and salt-tolerant native plants such as <em>Atriplex</em> spp., while the second includes examples such as mesquite (<em>Prosopis</em> spp.), prickly pear cactus (<em>Opuntia</em> spp.), and tepary bean (<em>Phaseolus acutifolius</em>).</div><div>Enhancing the feasibility of adopting these alternatives, for instance by creating programs that pay farmers to switch crops rather than remove land from production, could create public benefits by avoiding the negative outcomes associated with fallowing.</div></div>","PeriodicalId":7634,"journal":{"name":"Agricultural Water Management","volume":"312 ","pages":"Article 109439"},"PeriodicalIF":5.9,"publicationDate":"2025-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143682231","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Enhancing nitrogen fertilizer productivity in cotton fields in southern Xinjiang by improving the soil microenvironment through water and nitrogen management","authors":"Fengnian Zhao ,&nbsp;Weixiong Huang ,&nbsp;Xin Zhao ,&nbsp;Lei Zhang ,&nbsp;Yuanhang Guo ,&nbsp;Hongbo Wang ,&nbsp;Xingpeng Wang ,&nbsp;Yang Gao","doi":"10.1016/j.agwat.2025.109442","DOIUrl":"10.1016/j.agwat.2025.109442","url":null,"abstract":"<div><div>Optimizing water and nitrogen management is an effective measure to reduce nitrogen fertilizer losses and environmental pollution risks. To quantify the effects of different water and nitrogen management practices on the microenvironment of drip-irrigated cotton fields without film in southern Xinjiang and partial factor productivity of N (PFP_N), this study aims to clarify the relationship between the soil microenvironment and PFP_N in cotton. This study established two irrigation levels of 45 mm (W1) and 54 mm (W2), and three nitrogen application rates of 150 kg·hm⁻² (F1), 225 kg·hm⁻² (F2), and 300 kg·hm⁻² (F3), to analyze changes in soil physicochemical properties, soil enzyme activities, soil N₂O emissions, soil microbial communities, cotton yield, and nitrogen fertilizer productivity in cotton fields. The results showed that at the same irrigation level, increasing nitrogen application significantly increased nitrate nitrogen (NN) content by 10.76–21.23 %, ammonium nitrogen (AN) content by 25.99–54.38 %, and N₂O emissions by 47.19–101.53 %. It significantly reduced soil PH by 1.18–2.24 %, water-filled pore space (WFPS) by 7.61–17.61 %, and PFP_N by 28.67–47.59 %. Under the same nitrogen application level, increasing the irrigation quota significantly increased WFPS by 12.80 %, N₂O emissions by 17.43 %, and soil pH by 1.27 % (p &lt; 0.05). It significantly reduced total nitrogen (TN) by 14.93 %, NN by 8.60 %, and AN by 10.96 %. Significant differences were observed in the activities of soil urease (URE), alkaline phosphatase (AKP), catalase (CAT), and sucrase (SUC) under different treatments in cotton fields. Increasing both the irrigation quota and nitrogen application significantly reduced bacterial alpha diversity. Under high water and high nitrogen treatments, several nitrogen cycle-related bacterial genera, such as <em>Nitrospira</em> and <em>Sphingomonas</em>, were enriched. The structural equation model (SEM) indicated that optimizing water and nitrogen management can improve PFP_N in cotton by enhancing the soil microenvironment. The comprehensive TOPSIS evaluation showed that the combination of a 54 mm irrigation quota and a nitrogen application rate of 150 kg·hm⁻² performed best in reducing N₂O emissions, enhancing soil microbial diversity, cotton yield, and PFP_N. This study further improves the theoretical system of non-mulched drip irrigation cotton production in southern Xinjiang, facilitates the promotion of clean agricultural production practices, and provides a research basis for improving the soil microenvironment in typical arid farmlands.</div></div>","PeriodicalId":7634,"journal":{"name":"Agricultural Water Management","volume":"312 ","pages":"Article 109442"},"PeriodicalIF":5.9,"publicationDate":"2025-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143682230","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"How does farmer differentiation effect agricultural water use efficiency? Evidence from China","authors":"Ming Chang ,&nbsp;Hongxu Shi ,&nbsp;Shiya Yuan ,&nbsp;Kelin Chen ,&nbsp;Xueyan Zhang ,&nbsp;Jinhao Zhang","doi":"10.1016/j.agwat.2025.109436","DOIUrl":"10.1016/j.agwat.2025.109436","url":null,"abstract":"<div><div>Farmer differentiation is a prevalent phenomenon in developing countries, such as China, which is expected to have a profound effect on rural collective actions, especially in the realm of agricultural irrigation. Despite this, few studies have been conducted to investigate the impact of farmer differentiation on agricultural water utilization. This research utilizes China's provincial panel data to construct indicators of farmer differentiation and agricultural water use efficiency through the entropy method and super-efficient DEA, and investigate how farmer differentiation affects agricultural water use efficiency. Our findings reveal a significant negative effect of farmer differentiation on overall agricultural water use efficiency. Mechanism analysis indicates that inadequate facility management has a negative mediating effect between farmer differentiation and agricultural water use efficiency, while large-scale grain crop production has a positive mediating effect. Additionally, the investment in small farmland water conservancy and central investment have a positive moderating effect. Notably, when the proportion of investment in maintenance of farmland water conservancy exceeds a certain threshold, the negative impact of farmer differentiation on agricultural water use efficiency can be eliminated. This study provides targeted recommendations on how to improve agricultural water use efficiency in the current situation of farmer differentiation.</div></div>","PeriodicalId":7634,"journal":{"name":"Agricultural Water Management","volume":"312 ","pages":"Article 109436"},"PeriodicalIF":5.9,"publicationDate":"2025-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143682228","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Manure application rather than plastic-film uncovering to sustainably alleviate plastic-greenhouse soil nitrate surplus and salinity in Yangtze River Delta","authors":"Ying Tang ,&nbsp;Xiao Ma ,&nbsp;Yun Zhao ,&nbsp;Yang Li ,&nbsp;Xuehong Ma ,&nbsp;Xiong Cao ,&nbsp;Xin Zhao ,&nbsp;Jinlong Dong","doi":"10.1016/j.agwat.2025.109437","DOIUrl":"10.1016/j.agwat.2025.109437","url":null,"abstract":"<div><div>Despite leading global plastic-greenhouse production using soil culture, China’s low-to-medium-tech practices exacerbate soil nitrate surplus and salinity, deteriorating local environments. However, it remains uncertain how to sustain soil nitrate to achieve high production without environment penalty. This study conducted a field survey of plastic-greenhouse farms in Yangtze River Delta, and collected 107 questionnaires and 535 soil samples to comprehensively assess current status and remediation strategies of soil salinity. 40.5 %, and 68.2 % of soil samples exceeded the critical level of soil nitrate and electrical conductivity (EC) while nitrate and EC with or without <em>Asparagus</em> cultivation were median of 999 and 136 mg N kg⁻¹, and 2809 and 659 µS cm⁻¹, respectively, demonstrating severe nitrate surplus and salinity. Structural equation and random forest model demonstrated that soil salinity was related to greater inorganic nitrogen but lower manure input. Greenhouse uncovering decreased soil nitrate from 154 to 103 mg N kg⁻¹ by 33.2 %, and soil EC from 706 to 562 µS cm⁻¹ by 20.5 % but threatening surface water body. More manures decreased the ratio of soil nitrate-N to total N, and increased soil C/N counteracting the nitrate surplus in grape-cultivated soils. This study therefore recommends subsidizing manure applications in the cultivation of low-value crops and promoting the cultivation of high-value horticultural crops. This approach aims to prevent nutrient leaching caused by the removal of plastic film, thereby achieving the sustainable use of plastic greenhouse soils.</div></div>","PeriodicalId":7634,"journal":{"name":"Agricultural Water Management","volume":"312 ","pages":"Article 109437"},"PeriodicalIF":5.9,"publicationDate":"2025-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143666335","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optimizing sowing date, fertilization, and irrigation strategies for winter wheat in Tensift Al Haouz (Morocco) using the DSSAT-CERES-wheat model","authors":"Lahoucine Ech-chatir ,&nbsp;Salah Er-Raki ,&nbsp;Julio Cesar Rodriguez ,&nbsp;Abdelilah Meddich ,&nbsp;Abdelghani Chehbouni","doi":"10.1016/j.agwat.2025.109443","DOIUrl":"10.1016/j.agwat.2025.109443","url":null,"abstract":"<div><div>Countering poor wheat management holds tremendous potential for yield improvement. An increasing number of researchers are combining field experiments and crop models for management investigation. This study aimed to evaluate the performance of the DSSAT-CERES-Wheat model in simulating phenological stages, yield, biomass, evapotranspiration (<em>ETa</em>), and total soil water (<em>TSW</em>) and to identify the best sowing date (<em>SD</em>), irrigation, and fertilization scenarios for flood-irrigated winter wheat. The model was first calibrated on two wheat fields and then validated on four other fields using observed data from a flood-irrigated semi-arid area over two consecutive growing seasons (2002/2003 and 2003/2004). The model performed well during calibration and provided acceptable results during validation, with a root mean square error (<em>RMSE</em>) and index of agreement (<em>d</em>) of 4.74 days (0.69) for anthesis date, 2.12 days (0.98) for maturity date, 878 kg/ha (0.52) for yield, 1.17 mm/day (0.71) for <em>ETa</em> and 29.91 mm (0.71) for <em>TSW</em> respectively in validation. Mean Absolute Error (<em>MAE</em>) also showed acceptable performance of the model. Simulation of <em>SD</em>, irrigation, and fertilization scenarios over 30 years revealed that maximum yield was obtained with late sowing, irrigation when soil moisture was kept over 50 % of available water capacity (4.6 t/ha for irrigated wheat) and when sowing occurred on December 15 for rainfed wheat. The application of 300 kg N/ha resulted in the highest yield (11.6 t/ha) and the highest water use efficiency (<em>WUE</em>) (2.04 kg/m³). A comparison of the simulated yield and <em>WUE</em> with the experimental values revealed a significant increase, confirming the importance of irrigation scheduling based on soil moisture depletion and the adjustment of <em>SD</em> and nitrogen rate in maximizing yield and <em>WUE</em> in semi-arid regions. Once validated through field experiments, model simulations could serve as a basis for efficient management of crops and resources.</div></div>","PeriodicalId":7634,"journal":{"name":"Agricultural Water Management","volume":"312 ","pages":"Article 109443"},"PeriodicalIF":5.9,"publicationDate":"2025-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143682232","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Trade-offs among yield, water productivity, water footprint, and economic benefits for wheat production under conservation tillage: A long-term field experiment approach","authors":"Linlin Wang ,&nbsp;Lingling Li ,&nbsp;Junhong Xie ,&nbsp;Zhuzhu Luo ,&nbsp;Setor Kwami Fudjoe ,&nbsp;Jairo A. Palta ,&nbsp;Shiqing Li","doi":"10.1016/j.agwat.2025.109435","DOIUrl":"10.1016/j.agwat.2025.109435","url":null,"abstract":"<div><div>Water footprint (WF) is a water sustainable management indicator that quantifies the virtual water use in crop production. Water productivity (WP) and WF were examined under different tillage practices for wheat (<em>Triticumaestivum</em> L.) in the semiarid Loess Plateau of China. Wheat was grown in 2002 −2017 with six tillage practices: conventional tillage (T), no-till without straw cover (NT), conventional tillage with straw cover (TS), no-till with straw cover (NTS), conventional tillage with plastic mulching (TP), no-till with plastic mulching (NTP). Tillage practices did not significantly increase crop evapotranspiration, but NTS, TP, and NTP reduced soil evaporationwhile increasing transpiration, root growth and biomass accumulation. Additionally, NTS reduced the water consumption during the early stage but increased the water utilization from heading to harvest, while TP, and NTP exhibited the opposite pattern. Wheat yield under TS, NTS, TP, and NTP was higher by13, 28, 22, and 24 %, respectively, than under T, with corresponding improvements in water productivity of 15, 24, 26, and 24 %, respectively. The change in net economic return was 39, 21, 148, −49, and 18 % for NT, TS, NTS, TP, and NTP, respectively, compared to T; the sustainability yield index was 0.45, 0.41, 0.52, 0.55, 0.48 and 0.47, respectively. Total water consumption was significantly increased by 8.2 and 9.8 % under TS and NTS, respectively, compared to T. WF under NTS, TP and NTP was significantly decreased by 18.6, 18.5 and 22.3 % compared to T, respectively. These results suggests that NTS increased yield, economic benefits and WP with less WF through enhancing root growth and water utilization during the filling period. Therefore, NTS represented a sustainable a sustainable water management strategy for wheat in the semiarid Loess Plateau.</div></div>","PeriodicalId":7634,"journal":{"name":"Agricultural Water Management","volume":"312 ","pages":"Article 109435"},"PeriodicalIF":5.9,"publicationDate":"2025-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143666337","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evaluation of crop water status using UAV-based images data with a model updating strategy","authors":"Ning Yang ,&nbsp;Zhitao Zhang ,&nbsp;Xiaofei Yang ,&nbsp;Ning Dong ,&nbsp;Qi Xu ,&nbsp;Junying Chen ,&nbsp;Shikun Sun ,&nbsp;Ningbo Cui ,&nbsp;Jifeng Ning","doi":"10.1016/j.agwat.2025.109445","DOIUrl":"10.1016/j.agwat.2025.109445","url":null,"abstract":"<div><div>This study aims to evaluate crop water status by fusing multiple features from the unmanned aerial vehicle (UAV)-based canopy images with model updating strategy. A UAV platform carrying multispectral and thermal infrared cameras was used to collect high spatial resolution images of winter wheat and summer maize under different water treatments over two years. The plant water content (PWC) and above-ground biomass (AGB), which represent crop water status, were collected simultaneously. The vegetation indices (VIs), texture features, and canopy thermal indicators were extracted from UAV-based images to estimate PWC and AGB based on CNN-LSTM-Attention (CLA) model. The results showed that combining spectral, textural, and thermal features with the CLA model significantly improved estimation accuracy. Specifically, multi-feature fusion achieved the best performance in winter wheat, with MAE of 1.80 % and 1.23 %, and RMSE of 2.13 % and 1.57 % for PWC in 2022 and 2023, respectively. For AGB, the corresponding MAE values were 1.12 t/hm² and 1.04 t/hm², and RMSE values were 1.41 t/hm² and 1.31 t/hm². In addition, the model updating strategy successfully verified the robustness of the estimation model for winter wheat across different years, and the application of the CLA model to summer maize demonstrated its effective transferability. In summary, this method can improve the estimation accuracy of PWC and AGB, thereby achieving efficient evaluation of crop water status.</div></div>","PeriodicalId":7634,"journal":{"name":"Agricultural Water Management","volume":"312 ","pages":"Article 109445"},"PeriodicalIF":5.9,"publicationDate":"2025-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143666336","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}