“…Bo et al (2024) proposed a new Multi Task Distillation Learning (MTDL) framework for the comprehensive diagnosis of tomato leaf disease. The EfficientNet optimized by MTDL only uses 9.46 % of parameters, with better classification accuracy and severity estimation than single task ResNet101 by 0.68 % and 1.52 % [ 21 ]. Peng et al (2023) proposed the Dense Inception MobileNet-V2 parallel convolutional block attention module network (DIMPCNET) for identifying tomato leaf diseases.…”