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Assessing deep learning models for regional wheat yield prediction using Sentinel‑2 and environmental dataNARA Subscribed
Purpose Accurate and timely prediction of wheat yield is crucial to apply precision agriculture management and ensure food security. Since large-scale regional studies integrating multi-source data with deep learning remain limited, this study aims to propose a deep learning framework combining Sentinel-2 with environmental data for large-scale, field-level wheat yield prediction across central Spain. Methods Based on wheat yi...
AI-designed crop populations for sustainable intensificationNARA Subscribed
Precision measurement of the Ds*+-Ds+ meson mass differenceNARA Subscribed
The Multifaceted Potential of Fungi in Extraterrestrial Environments: Exploring Mushrooms in SpaceNARA Subscribed
Sustainable life support systems are essential for successful human space exploration beyond Earth. While soil fungi are potential candidates for exploitation in space, this review addresses contentious hypotheses, such as panspermia or putative Martian fungi, with scientific caution. The unique characteristics of mushrooms in extraterrestrial environments include their versatility, nutritional value, and tolerance of bioregen...