[HTML][HTML] A dual-branch weakly supervised learning based network for accurate mapping of woody vegetation from remote sensing images
Mapping woody vegetation from aerial images is an important task bluein environment
monitoring and management. A few studies have shown that semantic segmentation …
monitoring and management. A few studies have shown that semantic segmentation …
[HTML][HTML] Expert systems in oil palm precision agriculture: A decade systematic review
Abstract Oil palm (Elaeis guineensis Jacq.) is of the most profitable and widespread
commercial high tree crops in the tropical world, typically in Southeastern Asia. The present …
commercial high tree crops in the tropical world, typically in Southeastern Asia. The present …
[HTML][HTML] Individual palm tree detection using deep learning on RGB imagery to support tree inventory
M Culman, S Delalieux, K Van Tricht - Remote Sensing, 2020 - mdpi.com
Phoenix palms cover more than 1.3 million hectares in the Mediterranean, Middle East, and
North Africa regions and they represent highly valued assets for economic, environmental …
North Africa regions and they represent highly valued assets for economic, environmental …
Optimizing feature selection of individual crop types for improved crop mapping
Accurate crop planting area information is of significance for understanding regional food
security and agricultural development planning. While increasing numbers of medium …
security and agricultural development planning. While increasing numbers of medium …
Machine learning approaches using satellite data for oil palm area detection in Pekanbaru City, Riau
AW Wijayanto, N Afira… - 2022 IEEE international …, 2022 - ieeexplore.ieee.org
Palm oil is a commodity that plays an important role in economic activity. The oil palm tree is
capable of producing palm oil and is the most widely consumed vegetable oil in the world …
capable of producing palm oil and is the most widely consumed vegetable oil in the world …
A new machine learning approach in detecting the oil palm plantations using remote sensing data
K Xu, J Qian, Z Hu, Z Duan, C Chen, J Liu, J Sun… - Remote Sensing, 2021 - mdpi.com
The rapid expansion of oil palm is a major driver of deforestation and other associated
damage to the climate and ecosystem in tropical regions, especially Southeast Asia. It is …
damage to the climate and ecosystem in tropical regions, especially Southeast Asia. It is …
Landsat 8 thermal data to support urban management and planning in the climate change era: A case study in Torino area, NW Italy
T Orusa, EB Mondino - Remote Sensing Technologies and …, 2019 - spiedigitallibrary.org
Land surface temperature (LST) is an important factor in global climate change, vegetation
growth, and urban heat island (UHI). LST is one of the most important environmental …
growth, and urban heat island (UHI). LST is one of the most important environmental …
Mapping ecological focus areas within the EU CAP controls framework by Copernicus Sentinel-2 data
Greening is a Common Agricultural Policy (CAP) subsidy that ensures that all EU farmers
receiving income support produce climate and environmental benefits as part of their …
receiving income support produce climate and environmental benefits as part of their …
Estimating the girth distribution of rubber trees using support and relevance vector machines
Within the context of agricultural planning, spatial data have played a crucial role, replacing
conventional tabular-based data. Plantation, one of the key agricultural commodities, has …
conventional tabular-based data. Plantation, one of the key agricultural commodities, has …
A Review: Progression of Remote Sensing (RS) and Geographical Information System (GIS) Applications in Oil Palm Management and Sustainability
In agriculture management and cultivation, many researchers tend to introduce and
implement new methods or techniques to improve the sectors in order to sustain a good …
implement new methods or techniques to improve the sectors in order to sustain a good …