Summary of Leaf-based Plant Disease Detection and Explainable Ai, by Saurav Sagar and Mohammed Javed and David S Doermann
Leaf-Based Plant Disease Detection and Explainable AI
by Saurav Sagar, Mohammed Javed, David S Doermann
First submitted to arxiv on: 17 Dec 2023
Categories
- Main: Computer Vision and Pattern Recognition (cs.CV)
- Secondary: Artificial Intelligence (cs.AI); Machine Learning (cs.LG)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The proposed research survey provides a comprehensive overview of common plant leaf diseases, evaluating both traditional and deep learning techniques for disease detection. It also explores Explainable AI (XAI) to enhance the interpretability of deep learning models’ decisions. The study highlights the importance of AI-based solutions in combating plant diseases, which significantly impact agricultural yields and economic growth. By analyzing various datasets and model performances, the survey aims to provide valuable insights for researchers, practitioners, and stakeholders in the agricultural sector. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Agriculture is crucial for a country’s economy, especially in India where it provides livelihoods for millions of people. One major problem affecting agriculture is plant disease. This can happen due to synthetic fertilizers, old farming practices, or environmental factors, which reduces farm yields and harms the economy. To solve this issue, researchers use AI and Machine Learning techniques to detect diseases. This survey looks at different types of leaf diseases, compares traditional and deep learning methods for detection, and reviews available data sets. It also explores how to make AI models more understandable so that people can trust their decisions. By bringing all this information together, the survey gives valuable insights to researchers, farmers, and others in the agricultural sector, helping them develop better solutions for fighting plant diseases and promoting sustainable farming. |
Keywords
» Artificial intelligence » Deep learning » Machine learning
