Early Plant Disease Detection Using Infrared and Mobile Photographs in Natural Environment

Author:

De Silva MalithiORCID,Brown DaneORCID

Publisher

Springer Nature Switzerland

Reference18 articles.

1. What is infrared photography? (2022). https://kolarivision.com/. Accessed 12 Dec 2022

2. Blok, P.M., Polder, G., Peller, J., van Daalen, T.: OPTIMA - RGB colour images and multispectral images (including LabelImg annotations), June 2022

3. Carlson, T.N., Ripley, D.A.: On the relation between NDVI, fractional vegetation cover, and leaf area index. Remote Sens. Environ. 62(3), 241–252 (1997)

4. Cho, J., Lee, K., Shin, E., Choy, G., Do, S.: How much data is needed to train a medical image deep learning system to achieve necessary high accuracy? preprintarXiv arXiv:1511.06348 (2015)

5. De Silva, M., Brown, D.: Plant disease detection using deep learning on natural environment images. In: 2022 International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems (icABCD), pp. 1–5 (2022)

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Tomato Disease Detection Using Multispectral Imaging with Deep Learning Models;2024 International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems (icABCD);2024-08-01

2. Multispectral Plant Disease Detection with Vision Transformer–Convolutional Neural Network Hybrid Approaches;Sensors;2023-10-17

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