Jahangirnagar University: Project Presentation: An Android-based Image Processing Approach for Indoor Plant Disease Detection
Indoor plants play a vital role in enhancing the aesthetics of our living spaces, promoting well-being, and purifying indoor air. However, these plants are susceptible to various diseases that can hinder their growth and vitality. Therefore, developing a mobile application for the detection of indoor plant diseases using advanced deep learning techniques such as transfer learning and convolutional neural networks (CNNs) can significantly benefit plant enthusiasts, hobbyists, and professionals alike. By leveraging the power of technology, we aim to empower individuals to efficiently diagnose and treat plant diseases, ultimately contributing to healthier and thriving indoor plant ecosystems.
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2024-10-11
- DOI
- https://doi.org/10.5281/zenodo.15750846
- Primary Topic
- Smart Agriculture and AI
- Type
- article
- Field-Weighted Citation Impact
- 0.00