The convergence of machine learning and transcriptome analysis represents a powerful approach for advancing agricultural innovation. The integration of machine learning (ML) with transcriptome analysis is opening new frontiers in agricultural research. By combining computational intelligence with high-throughput molecular data, scientists can better understand plant responses to environmental stress, disease, and management practices—ultimately improving crop …
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