Mei-Qi Zeng

TandemNet: A Multi-Scale Multiple-Instance Learning Framework for Early-Season Rice Yield Prediction

Early-season crop yield prediction is critical for food security assessment and timely agricultural decision-making, yet large-scale remote-sensing applications are often constrained by a mismatch between pixel-level observations and county-level yield labels. This mismatch limits the use of fine-grained spatial hetero...