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Refining Crop Pest Recognition Performance through Dynamically Adaptable Activation Patterns of Kolmogorov Arnold Networks

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Crop Pest Recognition Using Image Processing

Pre-1

In the Pre-1, there are Abstract, Introduction, Related Work, Work Plan, Conclusion and Bibliography are provided.

Pre-2

In the Pre-2, there are Problem Statement, Research Objectives, Related work, Methodology (Dataset, Data preprocessing and augmentation, proposed model and explanation and Implimentation),Result and Discussion, Conclusion and Bibliography are provided. Mostly the poster presentation where reader can consume the summery of Pre-2.

Thesis

In the final part (Thesis), there are Problem Statement, Research objectives, Related work, Methodology (Dataset and more), Result and Discussion (Training and validation accuracy of crops classes), Conclusion and Bibliography.



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Refining Crop Pest Recognition Performance through Dynamically Adaptable Activation Patterns of Kolmogorov Arnold Networks

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