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AI-driven satellite analysis helps protect rice farming in climate-vulnerable regions

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A new North Carolina State University study combines satellite imagery with machine learning technology to help model rice crop productivity faster and more accurately. The tool could help decision-makers around the world better assess how and where to plant rice,
The article from MSN discusses how AI and satellite technology are being utilized to safeguard rice farming in regions vulnerable to climate change. Researchers from the University of Twente in the Netherlands have developed an AI model that analyzes satellite imagery to monitor rice crop health, detect diseases, and assess water management practices. This technology helps in predicting and mitigating the impacts of climate change, such as droughts and floods, which are particularly detrimental to rice cultivation. By providing farmers with real-time data and predictive analytics, the system aids in making informed decisions about planting, irrigation, and pest control, thereby enhancing food security and sustainability in areas like Southeast Asia and Sub-Saharan Africa where rice is a staple crop.

Read the Full MSN Article at:
[ https://www.msn.com/en-us/technology/data-science/ai-driven-satellite-analysis-helps-protect-rice-farming-in-climate-vulnerable-regions/ar-AA1vOtzP ]