Multi-task learning model for agricultural pest detection from crop-plant imagery: A Bayesian approach

Fruit freshness detection based on multi-task convolutional neural network

“…MTL aims to improve the performance of multiple related tasks by simultaneous training. Related work has proven MTL's effectiveness in various image classification tasks, e.g., face recognition ( Lu et al, 2023 ), medical imaging diagnosis ( Zhao et al, 2023 ; Tang et al, 2023 ; Sun et al, 2023 ; Zhou et al, 2021 ) , and food safety ( Amrani et al, 2024 ). However, research on the application of multi-task learning in fruit freshness detection is still underdeveloped and requires further exploration.…”