Aligned with
This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals. It fosters knowledge exchange, innovation, and collaborative engagement.
This track focuses on the integration of artificial intelligence technologies in precision agriculture practices. Discussions will cover AI applications for optimizing crop yields, resource management, and sustainability.
This session will explore the latest advancements in remote sensing technologies that enhance smart farming initiatives. Topics will include satellite imagery, drones, and their applications in monitoring crop health and soil conditions.
This track emphasizes the role of data analytics in transforming agricultural practices. Participants will discuss methodologies for interpreting agricultural data to drive decision-making and improve productivity.
This session will examine the Internet of Things (IoT) and its applications in digital agriculture. Focus will be on how IoT devices can facilitate real-time monitoring and management of agricultural operations.
This track addresses the challenges and solutions related to big data management in agriculture. Presentations will highlight data storage, processing, and analysis techniques that support agricultural decision-making.
This session will delve into the use of thermography and spectral data analytics for crop monitoring and health assessment. Participants will explore innovative techniques for utilizing thermal and spectral data in agricultural research.
This track focuses on the development and implementation of decision support tools designed for farmers. Discussions will include software and applications that assist in making informed agricultural decisions.
This session will cover advancements in in situ sensing technologies that provide real-time data for agricultural applications. Participants will discuss the impact of these technologies on crop management and environmental monitoring.
This track will explore the use of 3D point cloud analysis in agricultural research and applications. Topics will include techniques for capturing and analyzing spatial data to enhance precision agriculture.
This session will focus on management zone strategies that optimize agricultural inputs and outputs. Participants will discuss methodologies for delineating management zones based on soil and crop variability.
This track will investigate the latest innovations in proximity sensing technologies for crop monitoring. Discussions will include the application of these technologies for real-time data collection and analysis.
