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dc.contributor.authorBENOUADAH, OUSSAMA-
dc.contributor.authorTLIDJI, ABDELKADER-
dc.date.accessioned2024-04-15T08:26:48Z-
dc.date.available2024-04-15T08:26:48Z-
dc.date.issued2023-06-26-
dc.identifier.urihttp://dspace.univ-tiaret.dz:80/handle/123456789/14549-
dc.description.abstractCereal and wheat crops play a vital role in global and Algerian agriculture, providing a staple food source and contributing to food security. However, the increasing incidence of drought poses significant challenges to wheat production. This necessitates the adoption of innovative approaches, such as remote sensing, to monitor and manage agricultural resources effectively. This study explores the importance of remote sensing in agriculture and its role in mitigating the impacts of drought on wheat crops. It begins by discussing the significance of cereal and wheat crops for global food production, highlighting their importance in ensuring food security and sustainable development, particularly in Algeria. The work done in this study is employing remote sensing (Landsat 8 images), laboratory analysis, and modeling techniques. The study utilized the SEBAL model and the AquaCrop software to calculate evapotranspiration, quantify water needs, and optimize water irrigation practices. Overall, this study demonstrates the importance of cereal and wheat crops, highlights the challenges posed by drought, underscores the significance of remote sensing in agriculture, and provides an overview of the work conducted to estimate water irrigation consumption for wheat crops using remote sensing data. The findings have the potential to inform decision-makers, farmers, and researchers in adopting sustainable water management strategies and enhancing the resilience of wheat crops in the face of climate change and water scarcityen_US
dc.language.isoenen_US
dc.publisherIbn Khaldoun Universityen_US
dc.subjectcerealsen_US
dc.subjectAquaCrop softwareen_US
dc.subjectwater irrigationen_US
dc.subjectremote sensingen_US
dc.titleEstimating water irrigation consumption for wheat crop using remote sensing data in the region of Tiareten_US
dc.typeThesisen_US
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