An effective segmentation and attention-based reptile residual capsule auto encoder for pest classification.
Journal:
Pest management science
PMID:
38507257
Abstract
PURPOSE: Insect pests are a major global factor affecting agricultural crop productivity and quality. Rapid and precise insect pest detection is crucial for improving handling and prediction techniques. There are several methods for pest detection and classification tasks; still, the inaccurate detection, computation complexity and several other challenges affect the performance of the model.