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The global challenge of feeding a projected 10 billion people by 2050 has intensified interest in precision agriculture. Central to this effort is , which informs everything from seed selection to fertilizer application and market logistics. In 2021, a team of interdisciplinary researchers released a manuscript—referred to in the community as MEYD873 (short for Multi‑Environment Yield Determination, experiment 873 )—that claimed to push the predictive envelope by integrating heterogeneous sensor data with deep learning.