The paper proposes innovative Machine Learning Models to address food security concerns to the extreme weather events.
The paper proposes innovative Machine Learning Models to address food security concerns to the extreme weather events.
Aug 22, 2024 · This study explores the intricate relationships among farmers' non-agricultural income, agricultural technological progress, and sustainable ...
Abstract- Extreme weather events have become the norm of our day-to-day lives! We hear long running heat waves, flash floods, extreme droughts, fires, ...
TL;DR: In this paper , the authors proposed innovative Machine Learning Models to address food security concerns to the extreme weather events, ...
SJSU's Office of Research has identified emerging technology, including artificial intelligence and machine learning, as an area of research strength at SJSU.
The Future of Extreme Weather Events - Advanced Machine Learning and Artificial Intelligence for Democratic Institution preparedness and enhanced National Food ...
AI and cloud-based collaborative platforms can facilitate monitoring and evaluation of different risks associated with natural or manmade extreme weather and ...
AI has a crucial role in food security. It can analyze climate data to predict extreme weather events and create early warning systems [18], enabling a rapid ...
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USAID - AI Action Plan. Agriculture and Food Security: AI tools can be used to boost agriculture yields and strengthen food security using earth observations ...