Multimodal crop cover identification using deep learning and remote sensing
Author:
Funder
Higher Education Commision, Pakistan
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-023-17140-9.pdf
Reference49 articles.
1. Kirby M, Ahmad M-U-D (2022) Can Pakistan achieve sustainable water security? Climate change, population growth and development impacts to 2100. Sustain Sci 17(5):2049–2062
2. Khanal S et al (2020) Remote sensing in agriculture—accomplishments, limitations, and opportunities. Remote Sens 12(22):3783
3. Victor B, He Z, Nibali A (2022) A systematic review of the use of Deep Learning in Satellite Imagery for Agriculture. arXiv preprint arXiv:2210.01272
4. Domingues T, Brandão T, Ferreira JC (2022) Machine learning for detection and prediction of crop diseases and pests: a comprehensive survey. Agriculture 12(9):1350
5. Saleem G et al (2019) Automated analysis of visual leaf shape features for plant classification. Comput Electron Agric 157:270–280
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