About this Research Topic

Background

Precision irrigation is a pivotal component of modern agricultural systems, intersecting with various crop management practices to optimize water use and enhance crop productivity. Recent advancements in sensor technology, telemetry, and artificial intelligence (AI) have revolutionized irrigation management, providing detailed insights and integrated analytics to support day-to-day decision-making. Despite these technological advancements, significant challenges remain, including the need for better integration with other crop management practices and overcoming barriers to widespread adoption. Current studies have demonstrated the potential of AI-driven solutions and innovative hardware to improve water use efficiency and crop yields. However, there is still a gap in understanding the holistic impact of these technologies and the socio-economic factors influencing their adoption.

This Research Topic aims to explore the latest advancements in precision irrigation, focusing on innovative technologies, AI-driven solutions, modeling, and strategies to promote widespread adoption. The collected articles will showcase cutting-edge research and practical applications that can significantly improve water use efficiency, optimize resource management, and enhance crop productivity. By addressing these key aspects, the research seeks to provide a comprehensive understanding of precision irrigation's potential to contribute to sustainable agriculture in the face of increasing water scarcity and climate variability.

To gather further insights into the boundaries of precision irrigation, we welcome articles addressing, but not limited to, the following themes:

- AI-driven precision irrigation scheduling and management: Investigating the use of AI algorithms, machine learning techniques, deep learning, and neural networks to optimize irrigation decision-making for improved water use efficiency.

- Innovative precision irrigation technologies: Presenting novel sensors, controllers, and delivery systems that enable high-resolution monitoring of plant water stress and precise application of water.

- Quantitative modeling for irrigation management: Developing and applying crop models, hydrological models, and other relevant quantitative approaches.

- Practical case studies of successful precision irrigation adoption: Demonstrating the real-world impact and feasibility of implementing advanced precision irrigation technologies in various agricultural contexts.

- Strategies for overcoming barriers to widespread adoption: Examining the socio-economic, cultural, and policy factors that influence the uptake of precision irrigation technologies and proposing solutions to address these challenges.

- Integration of precision irrigation with other precision agriculture practices: Exploring the synergies between precision irrigation and other crop management aspects, such as nutrition management and disease management, to optimize overall farm management.

Article types and fees

This Research Topic accepts the following article types, unless otherwise specified in the Research Topic description:

• Brief Research Report
• Data Report
• Editorial
• General Commentary
• Hypothesis and Theory
• Methods
• Mini Review
• Opinion
• Original Research
• ... View all formats

Articles that are accepted for publication by our external editors following rigorous peer review incur a publishing fee charged to Authors, institutions, or funders.

Article types

This Research Topic accepts the following article types, unless otherwise specified in the Research Topic description:

• Brief Research Report
• Data Report
• Editorial
• General Commentary
• Hypothesis and Theory
• Methods
• Mini Review
• Opinion
• Original Research
• Perspective
• Policy and Practice Reviews
• Policy Brief
• Review
• Systematic Review

Keywords: AI-driven irrigation innovations, Precision irrigation, Crop water stress monitoring, Widespread adoption strategies, Barriers to adoption, Water scarcity, Climate variability

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.

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