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Big Data Analytics and Decision Support Systems
Big Data Analytics and Decision Support Systems
Big data analytics plays a critical role in modern agriculture by enabling predictive insights and informed decision-making. This session covers data integration, analytics platforms, cloud computing, and farm data management systems. Topics include predictive modelling, risk analysis, and real-time decision support tools. The session aims to demonstrate how data-driven approaches improve productivity and sustainability.
Committee Members
Srinivasa Rao Mentreddy
Alabama A&M University, United States
Mary Cole
The University of Melbourne, Australia
Title : Climate-smart Conservation Agriculture (CA) - Paradigm for sustainable food and resource security, and environmental safety
Amal Ghosh, ICAR-Indian Agricultural Research Institute New Delhi, India
Title : Enhancing climate resilience in South African maize farming through the quantification of Green House Gas (GHG) mitigation and water productivity: The development of a carbon management tool
Annie Koalane, Agricultural Research Council, South Africa
Title : Micro-remediation of crop residues: An eco-friendly alternative technology to stubble burning, enhancing soil nutrient status and agriculture sustainability
K R Aneja, Kurukshetra University, India
Title : The role of soil biota in climate resiliant agriculture
Mary Cole, The University of Melbourne, Australia
Title : Ensuring climate resilience and food security through alley cropping
Srinivasa Rao Mentreddy, Alabama A&M University, United States
Title : Integrated nutritional, physicochemical, glycemic, and antioxidant profiling of selected overripe Malaysian bananas for functional food applications
Wan Rosli Wan Ishak, Universiti Sains Malaysia, Malaysia