Publications by authors named "Akash Nanavaty"
Article Synopsis
- This paper explores using Deep Learning and Visual Question Answering systems to improve the detection of wheat rust, a serious disease affecting wheat crops worldwide.
- It introduces the WheatRustDL2024 dataset, consisting of nearly 8,000 images of healthy and infected wheat leaves, designed to train models for accurate and quick disease diagnosis.
- The researchers achieved a high accuracy of 97.69% with a fine-tuned ResNet model and utilized techniques like BLIP to enhance the model’s ability to process images and text, resulting in more relevant diagnostic answers.
