Large-scale oil palm tree detection from high-resolution satellite images using two-stage convolutional neural networks
Being an important economic crop that contributes 35% of the total consumption of
vegetable oil, remote sensing-based quantitative detection of oil palm trees has long been a …
vegetable oil, remote sensing-based quantitative detection of oil palm trees has long been a …
The role of wild palms in agroforestry systems in the Neotropics: A review
Wild palms are among the most important plants in the Neotropics due to their wide
distribution, species richness and cultural relevance for humans. In addition to their …
distribution, species richness and cultural relevance for humans. In addition to their …
[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 …
Oil palm tree counting in drone images
When the images are captured by drones, the effect of oblique angles, distance variations
and open environment are the main challenges for successful palm tree detection. This …
and open environment are the main challenges for successful palm tree detection. This …
A framework for the management of agricultural resources with automated aerial imagery detection
KS Ochoa, Z Guo - Computers and Electronics in Agriculture, 2019 - Elsevier
The acquisition of data through remote sensing represents a significant advantage in
agriculture, as it allows researchers to perform faster and cheaper inspections over large …
agriculture, as it allows researchers to perform faster and cheaper inspections over large …
Pomelo tree detection method based on attention mechanism and cross-layer feature fusion
Deep learning is the subject of increasing research for fruit tree detection. Previously
developed deep-learning-based models are either too large to perform real-time tasks or too …
developed deep-learning-based models are either too large to perform real-time tasks or too …
Physicochemical and thermal characterization of babassu oils (Orbignya phalerata Mart.) obtained by different extraction methods
Babassu oil is a raw material widely used in the pharmaceutical and biofuels industry.
However, its physical-chemical and thermal characteristics are not widely described in the …
However, its physical-chemical and thermal characteristics are not widely described in the …
A real-time tree crown detection approach for large-scale remote sensing images on FPGAs
The on-board real-time tree crown detection from high-resolution remote sensing images is
beneficial for avoiding the delay between data acquisition and processing, reducing the …
beneficial for avoiding the delay between data acquisition and processing, reducing the …
Object-based image analysis for sago palm classification: The most important features from high-resolution satellite imagery
Sago palm (Metroxylon sagu) is a palm tree species originating in Indonesia. In the future,
this starch-producing tree will play an important role in food security and biodiversity. Local …
this starch-producing tree will play an important role in food security and biodiversity. Local …
[HTML][HTML] Automated detection of individual clove trees for yield quantification in northeastern Madagascar based on multi-spectral satellite data
SIB Roth, R Leiterer, M Volpi, E Celio… - Remote Sensing of …, 2019 - Elsevier
There is an increasing demand for clove products, mainly dried buds and essential oil on
global markets. Consequently, the importance of clove trees as a provisioning service is …
global markets. Consequently, the importance of clove trees as a provisioning service is …