Agriculture › Agricultural Supply Chain & Traceability Systems
Machine Learning Algorithms for Crop Yield Prediction Using Supply Chain Data
This research applies advanced neural networks and ensemble methods to integrate harvest data, logistics timing, and market information for predictive yield modeling. The work produces novel algorithmic insights into how supply chain variables correlate with agricultural productivity and resource efficiency outcomes.
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