PPLC-Net:Neural network-based plant disease identification model supported by weather data augmentation and multi-level attention mechanism
PPLC-Net:Neural network-based plant disease identification model supported by weather data augmentation and multi-level attention mechanism is a paper indexed in PICO Portal from OpenAlex.
How many citations does PPLC-Net:Neural network-based plant disease identification model supported by weather data augmentation and multi-level attention mechanism have?
PPLC-Net:Neural network-based plant disease identification model supported by weather data augmentation and multi-level attention mechanism has 70 citations in the OpenAlex counts PICO Portal stores.
When was PPLC-Net:Neural network-based plant disease identification model supported by weather data augmentation and multi-level attention mechanism published?
PPLC-Net:Neural network-based plant disease identification model supported by weather data augmentation and multi-level attention mechanism has 2023 year in the PICO Portal index.
What is the open-access status of PPLC-Net:Neural network-based plant disease identification model supported by weather data augmentation and multi-level attention mechanism?
PPLC-Net:Neural network-based plant disease identification model supported by weather data augmentation and multi-level attention mechanism has hybrid oa status in the PICO Portal index.
What is the DOI of PPLC-Net:Neural network-based plant disease identification model supported by weather data augmentation and multi-level attention mechanism?
The DOI for PPLC-Net:Neural network-based plant disease identification model supported by weather data augmentation and multi-level attention mechanism is on the source record.
What is the OpenAlex record for PPLC-Net:Neural network-based plant disease identification model supported by weather data augmentation and multi-level attention mechanism?
The OpenAlex for PPLC-Net:Neural network-based plant disease identification model supported by weather data augmentation and multi-level attention mechanism is on the source record.