Results 121 to 130 of about 1,749,217 (265)

Development and Testing of a Low‐Cost Soil Moisture Sensor for Real‐Time Irrigation Scheduling

Irrigation and Drainage, Volume 75, Issue 1, Page 173-187, February 2026.
ABSTRACT Effective irrigation scheduling is essential for improved water management in irrigated areas, with soil moisture monitoring recognized as one of the most effective methods. However, challenges such as the high cost of sensors and the difficulties in monitoring large areas hinder their practical application, particularly for smallholder ...
Edmealem Temesgen Ebstu, Samuel Dagalo Hatiye, Demelash Wendimagegnehu Goshime, Johannes Dirk Dingemanse, Demiso Daba Dugassa, Tafesse Fitensa, Getachew Enssa, Chanako Dane Chare, Destaw Akil Areru, Yared Godine Demeke   +9 more
wiley   +1 more source

Association of morphological and water factors with irrigated forage cactus yield

Revista Brasileira de Engenharia Agrícola e Ambiental
This study aimed to understand the relationship of morphological characteristics and actual evapotranspiration of forage cactus clones with their productive capacity under different water regimes.
Marcela L. Barbosa, Thieres G. F. da Silva, Sérgio Zolnier, Servulo M. S. e Silva, José E. F. de Morais, Mery C. de S. Assis   +5 more
doaj   +1 more source

Management Strategies and Agricultural Calendars for Forage Production in Semi‐Arid Brazil Using AquaCrop

Irrigation and Drainage, Volume 75, Issue 1, Page 411-424, February 2026.
ABSTRACT Forage production in semi‐arid regions of Brazil is limited by water deficit. This study aimed to identify the most adapted and efficient production systems and define their agricultural calendars for the semi‐arid region of Brazil. Twenty‐nine production arrangements that included different cropping conditions, plant density, plant cycles ...
Antonio Gebson Pinheiro, Cleber Pereira Alves, Carlos André Alves de Souza, George do Nascimento Araújo Júnior, Alexandre Maniçoba da Rosa Ferraz Jardim, Regina Crisóstomo Grangeiro Pereira, José Edson Florentino de Morais, Luciana Sandra Bastos de Souza, Daniela de Carvalho Lopes, Antonio José Steidle Neto, Adriano Nascimento Simões, Fleming Sena Campos, Kaique Renan da Silva Salvador, João Emanoel Ambrósio Gomes, Enio Farias de Franca e Silva, Thieres George Freire da Silva   +15 more
wiley   +1 more source

Evaluation of CERES‐Maize Model for Predicting Yield, Evapotranspiration, Water Productivity and Drought Stress Indices Under Center Pivot, Subsurface Drip and Furrow Irrigation Systems With Different Irrigation Levels Simultaneously

Irrigation and Drainage, Volume 75, Issue 1, Page 372-389, February 2026.
ABSTRACT The effects of different irrigation methods (center pivot [CPI], subsurface drip [SDI] and furrow irrigation [FI]) and levels (full irrigation treatment [FIT], 80% FIT, 60% FIT and rainfed) on yield, crop evapotranspiration (ETc), ET‐water productivity (WPET) and drought stress index for leaf expansion (SIE) and photosynthesis (SIP) of maize ...
Ebrahim Amiri, Suat Irmak, P. Aalaee Bazkiaee   +2 more
wiley   +1 more source

Nanomedicine Strategies Against Biofilm‐Associated Infections: Advances, Challenges, and Translational Barriers

MicrobiologyOpen, Volume 15, Issue 1, February 2026.
Explore the key challenges and limitations in nanomedicine for biofilm treatment, from drug loading efficiency to antimicrobial resistance. ABSTRACT Antimicrobial resistance continues to rise globally, with biofilm‐associated infections intensifying the clinical burden through persistent tolerance to antibiotics and evasion of immune responses ...
Husni Farah, Munthar Kadhim‐Abosaoda, Hayjaa Mohaisen‐Mousa, S. Renuka Jyothi, Priya Priyadarshini‐Nayak, J. Bethanney Janney, Gurjant Singh, Ashish Singh‐Chauhan, Manoj Kumar‐Mishra   +8 more
wiley   +1 more source

Precise Evaluation of Transpiration Patterns in Relation to Grain Yield Under Drought Stress in Faba Bean

Plant Direct, Volume 10, Issue 2, February 2026.
ABSTRACT Faba bean (Vicia faba L.) is a key crop for sustainable agriculture in temperate cropping systems due to its nitrogen‐fixing ability and high protein content, but its productivity is increasingly threatened by drought stress driven by climate change.
Lennart Scheer, Anna Moritz, Benjamin Wittkop, Andreas Stahl, Olaf Sass, Hanna Tietgen, Gregor Welna, Rod Snowdon   +7 more
wiley   +1 more source

Remote Sensing Data Assimilation With a Chained Hydrologic‐Hydraulic Model for Flood Forecasting

Water Resources Research, Volume 62, Issue 2, February 2026.
Abstract Effective flood risk management requires reliable forecasts with extended lead times to enable the implementation of cost‐effective and timely measures. In this study, we present a chained hydrologic‐hydraulic modeling framework designed for effective near‐real‐time flood forecasting. The system integrates runoff predictions from a large‐scale
T. H. Nguyen, A. Piacentini, S. Ricci, S. Munier, L. Cassan, Q. Bonassies, R. Rodriguez Suquet   +6 more
wiley   +1 more source

Transition in Global Basins From Precipitation‐Dominated to Evaporative Demand‐Dominated Meteorological Drought: Past Patterns and Future Projections

Earth's Future, Volume 14, Issue 2, February 2026.
Abstract Meteorological drought, one of the most destructive natural hazards, is driven by both precipitation deficits and high evaporative demand. While precipitation has traditionally been considered the dominant driver, recent studies suggest an increasing influence of evaporative demand.
Jiachen Ji, Chiyuan Miao, Jinlong Hu, Jiajia Su, Shidie Chen, Yufei Wang, Yunning Kong, Xiaoyong Bai, Yiying Wang   +8 more
wiley   +1 more source

Impact‐Based Drought Detection via Interpretable Machine Learning and Causal Discovery

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 1, February 2026.
Abstract The intensification of drought events due to climate change presents unprecedented risks and widespread socioenvironmental impacts. Traditional drought indices, which rely on hydrometeorological anomalies, often fall short in capturing the full extent of these impacts, as they primarily focus on isolated precursors (e.g., precipitation deficit
Paolo Bonetti, Matteo Giuliani, Teo Bucci, Veronica Cardigliano, Alberto Maria Metelli, Marcello Restelli, Andrea Castelletti   +6 more
wiley   +1 more source

Differentiable River Routing for End‐to‐End Learning of Hydrological Processes

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 1, February 2026.
Abstract Deep Learning (DL) approaches have shown high accuracy in rainfall runoff modeling. Currently, however, large‐scale DL hydrological simulations at national and global scales still rely on external routing schemes to propagate runoff outputs through river networks, preventing them from leveraging the benefits of end‐to‐end learning of ...
Tristan Hascoet, Victor Pellet, Satoru Oishi, Takemasa Miyoshi   +3 more
wiley   +1 more source