[PDF][PDF] CNN based automated weed detection system using UAV imagery.
MA Haq - Computer Systems Science & Engineering, 2022 - researchgate.net
The problem of weeds in crops is a natural problem for farmers. Machine Learning (ML),
Deep Learning (DL), and Unmanned Aerial Vehicles (UAV) are among the advanced …
Deep Learning (DL), and Unmanned Aerial Vehicles (UAV) are among the advanced …
Performance comparison of deep learning and machine learning methods in determining wetland water areas using EuroSAT dataset
MA Günen - Environmental Science and Pollution Research, 2022 - Springer
Wetlands are critical to the ecology because they maintain biodiversity and provide home for
a variety of species. Researching, mapping, and conservation of wetlands is a challenging …
a variety of species. Researching, mapping, and conservation of wetlands is a challenging …
Vegetation Types Variations to the South of Ngoring Lake from 2013 to 2020, Analyzed by Hyperspectral Imaging
X Liu, G Wang, Y Shi, S Liang, J Jia - Remote Sensing, 2023 - mdpi.com
Studying the variation in vegetation types within the source region of the Yellow River
(SRYR) is of great significance for understanding the response of vegetation to climate …
(SRYR) is of great significance for understanding the response of vegetation to climate …
Automated large-scale mapping of the jahazpur mineralised belt by a MapReduce model with an integrated elm method
S Roy, S Bhattacharya, SN Omkar - PFG–Journal of Photogrammetry …, 2022 - Springer
High-resolution hyperspectral remote sensing can provide a large-scale mapping of pure
spectra along with perturbed/mixed spectra of minerals within a scene. Among the high …
spectra along with perturbed/mixed spectra of minerals within a scene. Among the high …