Input-frugal deep learning framework uses routine weather and two static inputs to forecast Brazilian soybean crop yield
Read the original at arxiv.org→arXiv:2609.38447v1 Announce Type: new Abstract: Reliable, timely crop-yield forecasts are essential for market stability and risk management, yet many approaches rely on costly or hard-to-scale inputs. We present a...
Original headline: "An Input-Frugal Deep Learning Framework for Weather-Driven National Crop-Yield Forecasting: A Case Study of Brazilian Soybean"
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- Oct 1, 04:00 UTC arXiv cs.LG lead source An Input-Frugal Deep Learning Framework for Weather-Driven National Crop-Yield Forecasting: A Case Study of Brazilian Soybean