[HTML][HTML] A novel approach: Coupling prior knowledge and deep learning methods for large-scale plastic greenhouse extraction using Sentinel-1/2 data
C Zhou, J Huang, Y Xiao, M Du, S Li - International Journal of Applied Earth …, 2024 - Elsevier
Plastic greenhouses (PGs) are integral to modern agricultural practices, enhancing crop
yields but also raising environmental concerns. Consequently, comprehending their …
yields but also raising environmental concerns. Consequently, comprehending their …
Crop classification in Google Earth Engine: leveraging Sentinel-1, Sentinel-2, European CAP data, and object-based machine-learning approaches
In contemporary agriculture and environmental management, the need for precise and
accurate crop maps has never been more vital. Although object-based (OB) methods within …
accurate crop maps has never been more vital. Although object-based (OB) methods within …
[HTML][HTML] Prediction of Greenhouse Area Expansion in an Agricultural Hotspot Using Landsat Imagery, Machine Learning and the Markov–FLUS Model
M Inalpulat - Sustainability, 2024 - mdpi.com
Greenhouses (GHs) are important elements of agricultural production and help to ensure
food security aligning with United Nations Sustainable Development Goals (SDGs) …
food security aligning with United Nations Sustainable Development Goals (SDGs) …
Sentinel-2A imaging in mapping greenhouse rose production and rainwater harvesting for agricultural irrigation use
C Cachipuendo, C Sandoval… - Environmental Research …, 2024 - iopscience.iop.org
Agricultural production within controlled environments, such as rose cultivation, has
traditionally followed the principles of a linear economy focused on maximizing crop yields …
traditionally followed the principles of a linear economy focused on maximizing crop yields …