ClimaMango: Climate-Fused Mango Disease Detection via EfficientNet-LSTM-CrossAttention
DOI:
https://doi.org/10.48047/q1ke3919Keywords:
: Mango disease detection; EfficientNet-B0; LSTM; Cross-attention; NASA POWER; Pre-symptomatic prediction; MangoLeafBDAbstract
Mango disease classification from leaf images has reached near-saturation accuracy (>99%) through deep CNN approaches, yet existing methods are inherently reactive: they diagnose visible symptoms rather than predicting pre-symptomatic outbreak risk. This paper proposes ClimaMango, the first dual-branch architecture fusing EfficientNet-B0 image features with NASA POWER meteorological time-series
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