About this Research Topic
A trustworthy smart farmland water conservancy model should meet the following six goals: spatial globalization, time serialization, process automation, application intelligence, management integration, and scientific decision-making. Based on these six goals, smart water conservancy should satisfy the automation, refinement, real-time, and comprehensiveness of water resources management. This Research Topic focuses on big data mining, data correlation analysis, and digital-reality mutual perception in smart water conservancy or smart farmland water conservancy, while considering data intelligence-based water conservancy management and decision-making. Overall, more research is needed on intelligent models in smart water conservancy or smart farmland water conservancy to realize the beautiful vision of interconnected perception and harmony between human and water. To further explore the discipline, we welcome researchers and practitioners from academia and industry to explore the latest advances in smart water conservancy or smart farmland water conservancy technologies.
The topics of interest for this Research Topic include, but are not limited to:
1. Big data in smart water conservancy/smart farmland water conservancy
2. Automated monitoring technology in smart water conservancy/smart farmland water conservancy
3. Data correlation analysis in smart water conservancy/smart farmland water conservancy
4. Data fusion in smart water conservancy/smart farmland water conservancy
5. Digital-reality mutual perception in smart water conservancy/smart farmland water conservancy
6. Data-based intelligent water conservancy management/farmland water conservancy
7. Water decision support in smart water conservancy management/smart farmland water conservancy
8. Comprehensive governance capability of smart water conservancy management/smart farmland water conservancy
Keywords: Smart Agriculture, Smart Farmland Water Conservancy, Data correlation analysis and fusion, Digital-reality perception, Data-based intelligence, Decision support
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.