HIGHLIGHTS
- who: Zekai Cheng and colleagues from the School of Computer Science and Technology, Anhui University of Technology, Ma`anshan, China have published the research: Development of a Lightweight Crop Disease Image Identification Model Based on Attentional Feature Fusion, in the Journal: Sensors 2022, 5550 of 25/07/2022
- what: Inspired by the application of convolutional neural networks in image identification the authors propose a lightweight crop disease image identification model based on attentional feature fusion named DSGIResNet_AFF which introduces self-built lightweight residual blocks inverted residuals blocks and attentional feature fusion modules on the basis . . .
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