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Deep learning approaches for water stress forecasting in arboriculture using remote sensing images: Comparative study between ConvLSTM and CNN-LSTM models

BOUNOUA,Ismail;SAIDI,Youssef, Auteur ; YAAGOUBI Reda, Auteur ; BOUZIANI Mourad, Auteur | Rabat : IAV Hassan II | 2023

Amid the context of global water stress, a pressing concern impacting agricultural productivity, plant health, and environmental sustainability, the need for accurate forecasting has gained paramount importance. Remote sensing has emerged as an [...]

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