HYBRID EVENT: Join us in person in Singapore or attend virtually from anywhere.
Artificial Intelligence and Machine Learning in Agriculture
Artificial Intelligence and Machine Learning in Agriculture
Artificial intelligence and machine learning are transforming agriculture through predictive analytics and automation. This session explores applications such as crop disease detection, yield prediction, image-based monitoring, and intelligent advisory systems. Topics include deep learning, computer vision, and AI-driven farm management. The focus will be on improving decision-making, increasing efficiency, and enabling smart agriculture systems.
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 : Bioremediation using microbial consortium as an alternative novel tool to crop residues burning, reducing environmental pollution and improving soil health for sustainable agriculture
K R Aneja, Kurukshetra University, India
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
Title : Determinants of market outlet choice among spice producers in Southwest Ethiopia
Yaregal Tilahun Geremewe, ACT American College of Technology, Ethiopia