This paper aims to evaluate the feasibility and performance of two related applications in agricultural big data: hyperspectral imaging and parallel computing. After selecting two oilseed rape varieties (NingYou 22 and NingZa 19) as the objects of study. we captured hyperspectral images of these siliques following their exposure to three different waterlogging stress levels (0. 3. https://ashleyshomestores.shop/product-category/8-piece-sectional-wtih-audio/
Hyperspectral Identification and Classification of Oilseed Rape Waterlogging Stress Levels Using Parallel Computing
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