Search Results - "Agricultural water management"

Water use indicators and economic analysis for on-farm irrigation decision: A case study of a super high density olive tree orchard by Fernández, J.E., Alcon, F., Diaz-Espejo, A., Hernandez-Santana, V., Cuevas, M.V.

“…•Water productivity (WP) indicators are useful for decision making on on-farm irrigation.•The water footprint approach does not render better results than the…”
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A deep learning CNN architecture applied in smart near-infrared analysis of water pollution for agricultural irrigation resources by Chen, Huazhou, Chen, An, Xu, Lili, Xie, Hai, Qiao, Hanli, Lin, Qinyong, Cai, Ken

“…[Display omitted] •NIR analysis of water for evaluating its recycling for agricultural cultivation.•To design a deep learning CNN architecture for NIR model…”
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Coping with salinity in irrigated agriculture: Crop evapotranspiration and water management issues by Minhas, P.S., Ramos, Tiago B., Ben-Gal, Alon, Pereira, Luis S.

“…•Salinity impacts on soils, crops and the environment.•Modelling salinity and leaching requirements.•The FAO56 approach to assess crop ET and its partition…”
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Crop evapotranspiration estimation with FAO56: Past and future by Pereira, Luis S., Allen, Richard G., Smith, Martin, Raes, Dirk

“…•FAO56 advances in ET computation are retrospectively reviewed and analyzed.•Definition, procedures and advances in computing reference ET are…”
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Smart irrigation monitoring and control strategies for improving water use efficiency in precision agriculture: A review by Bwambale, Erion, Abagale, Felix K., Anornu, Geophrey K.

“…The demand for freshwater resources has increased in recent times and has been exacerbated by escalating global population and increasing drought indices in…”
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Improving agricultural water productivity to ensure food security in China under changing environment: From research to practice by Kang, Shaozhong, Hao, Xinmei, Du, Taisheng, Tong, Ling, Su, Xiaoling, Lu, Hongna, Li, Xiaolin, Huo, Zailin, Li, Sien, Ding, Risheng

“…•Irrigation has played an important role in ensuring China’s food security.•Irrigation water productivity of China has increased from 0.2kgm−3 in 1950s to…”
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Modeling daily reference evapotranspiration via a novel approach based on support vector regression coupled with whale optimization algorithm by Mohammadi, Babak, Mehdizadeh, Saeid

“…•Daily reference evapotranspiration was modeled at three stations in Iran.•Model inputs were: air temperatures, relative humidity, solar radiation, sunshine…”
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Similarity and difference of potential evapotranspiration and reference crop evapotranspiration – a review by Xiang, Keyu, Li, Yi, Horton, Robert, Feng, Hao

“…•Potential evapotranspiration is different from reference crop evapotranspiration•The development histories of these two kinds of evapotranspirations are…”
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Groundwater quality forecasting using machine learning algorithms for irrigation purposes by El Bilali, Ali, Taleb, Abdeslam, Brouziyne, Youssef

“…Using conventional methods to evaluate the irrigation water quality is usually expensive and laborious for the farmers, particularly in developing countries…”
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Soil water balance models for determining crop water and irrigation requirements and irrigation scheduling focusing on the FAO56 method and the dual Kc approach by Pereira, L.S., Paredes, P., Jovanovic, N.

“…•The base concepts of soil water balance (SWB) models using the dual Kc approach are discussed.•The use of SWB, transient state, and crop growth and yield…”
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Evapotranspiration evaluation models based on machine learning algorithms—A comparative study by Granata, Francesco

“…•Three evapotranspiration models have been compared, differing in input variables.•Four variants of each model were applied, varying the machine learning…”
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Drought stress in sunflower: Physiological effects and its management through breeding and agronomic alternatives by Hussain, Mubshar, Farooq, Shahid, Hasan, Waseem, Ul-Allah, Sami, Tanveer, Mohsin, Farooq, Muhammad, Nawaz, Ahmad

“…[Display omitted] •With climate change, maintenance of crop productivity is a challenge.•Drought is a major consequence of climate change.•Drought affects…”
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Light Gradient Boosting Machine: An efficient soft computing model for estimating daily reference evapotranspiration with local and external meteorological data by Fan, Junliang, Ma, Xin, Wu, Lifeng, Zhang, Fucang, Yu, Xiang, Zeng, Wenzhi

“…•Light Gradient Boosting Machine (LightGBM) was proposed for predicting daily ETo.•Eight input combinations of climatic variables from local and external…”
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Drip fertigation significantly increased crop yield, water productivity and nitrogen use efficiency with respect to traditional irrigation and fertilization practices: A meta-analysis in China by Li, Haoru, Mei, Xurong, Wang, Jiandong, Huang, Feng, Hao, Weiping, Li, Baoguo

“…Improving irrigation and fertilization management for greater productivity is critical to address water scarcity. Drip fertigation can synchronize the water…”
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Effects of nitrogen application rate and irrigation regime on growth, yield, and water-nitrogen use efficiency of drip-irrigated winter wheat in the North China Plain by Si, Zhuanyun, Zain, Muhammad, Mehmood, Faisal, Wang, Guangshuai, Gao, Yang, Duan, Aiwang

“…•A 2-years field experiment was conducted to study the optimal irrigation and nitrogen rates for drip-irrigated winter wheat.•Combination of nitrogen rate of…”
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Climate change impact on yields and water use of wheat and maize in the North China Plain under future climate change scenarios by Xiao, Dengpan, Liu, De Li, Wang, Bin, Feng, Puyu, Bai, Huizi, Tang, Jianzhao

“…•Future climate warming led to advance in wheat and maize phenology.•Future climate change had negative impact on maize but positive impact on wheat.•Crop…”
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Attribution of meteorological, hydrological and agricultural drought propagation in different climatic regions of China by Ding, Yibo, Gong, Xinglong, Xing, Zhenxiang, Cai, Huanjie, Zhou, Zhaoqiang, Zhang, Doudou, Sun, Peng, Shi, Haiyun

“…Drought propagation describes the changes in a drought signal as it moves from one major type of drought to another. It is important to investigate the…”
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Estimation of daily maize transpiration using support vector machines, extreme gradient boosting, artificial and deep neural networks models by Fan, Junliang, Zheng, Jing, Wu, Lifeng, Zhang, Fucang

“…Accurate measurement or estimation of plant transpiration (T) is of great significance for understanding crop water use, predicting crop yield and designing…”
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Assessing soil water balance to optimize irrigation schedules of flood-irrigated maize fields with different cultivation histories in the arid region by Yi, Jun, Li, Huijie, Zhao, Ying, Shao, Ming'an, Zhang, Hailin, Liu, Muxing

“…Water availability is the most critical restriction for sustainable crop plantation in the arid region; consequently, it is essential to quantify the soil…”
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Sustainable use and management of non-conventional water resources for rehabilitation of marginal lands in arid and semiarid environments by Hussain, M. Iftikhar, Muscolo, Adele, Farooq, Muhammad, Ahmad, Waqar

“…•Water scarcity is threatening the sustainability of food production systems in Middle East and North Africa (MENA).•Non-conventional water resources (NCW),…”
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