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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 : Hybrid model on climate variability on soybean production across the six geopolitical zones of Nigeria
Abdulmumin Muhammad Kabiru , Umaru Ali Shinkafi Polytechnic Sokoto, Nigeria
Title : Community-led agroecology and agroforestry for climate resilience in Kenyan drylands
Alice Ritho, African Population and Health Research Centre , Kenya
Title : Fit genetics and management to the environment: A framework for climate resilient agriculture
Alvaro Danie Garcia, Dellait Animal Nutrition and Health, Portugal
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 : Climate change and insect pest dynamics in sugarcane: Rethinking IPM strategies for a warming world
Arbaz Khan, Peoples' Friendship University of Russia, Russian Federation