Precision Water Management in Dryland Agriculture
A special issue of Agriculture (ISSN 2077-0472). This special issue belongs to the section "Agricultural Water Management".
Deadline for manuscript submissions: closed (20 December 2022) | Viewed by 34110
Special Issue Editor
Interests: water resource management in arid area; desertification and oasification; model simulations; decision support system
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Water is the greatest constraining factor for higher agricultural productivity in drylands which accounts for 45% of Earth’s surface. Water availability is threatened by the reduction in surface and ground water due to diminishing biomass, climate change, poor management of resources, inaccessibility and droughts. Unplanned water management may cause aquifer depletion, soil and/or water salinization, land degradation and loss of water through evapotranspiration due to inadequate irrigation systems. Therefore, precise water management in drylands is fundamental to improve food production, sustainability of water resources and economic growth, as well as maximize water use efficiency. Precision water management will encompass optimization of irrigation water at the farm level, allocation of surface and ground water at the regional level and harnessing water at the watershed level. Modern day smart and intelligent information processing and data analytics approaches, such as modeling techniques, remote sensing, machine learning, unmanned aerial systems (UAS), wireless sensor networks (WSN), geographical information systems (GIS), and spectral images, can help ensure better decision making about water management for drylands.
This Special Issue on “Precision water management in dryland agriculture” is intended to provide new perspectives on dryland water management at the farm, regional and watershed levels, driven by smart technologies. Therefore, research articles, review articles and case studies involving emerging technologies and their use in water resource optimization, allocation, exploration and management, with a special focus on dryland agriculture, are warmly welcome.
Dr. Dongwei Gui
Guest Editor
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Keywords
- dryland agriculture
- irrigation management
- model simulations
- Internet of Things (IoT)
- decision support system
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