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Detección Automática De Palmas Ceroxylon Mediante Aprendizaje Profundo En Un Área Protegida Del Amazonas (No Perú)

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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/ppp3.10314openalex-snapshot

Scientists' warning to humanity on tree extinctions

inferredcites →https://doi.org/10.1007/s10531-019-01882-wopenalex-snapshot

From keystone species to conservation: conservation genetics of wax palm Ceroxylon quindiuense in the largest wild populations of Colombia and selected neighboring ex situ plant collections

inferredcites →https://doi.org/10.1007/s11258-008-9505-zopenalex-snapshot

Non-woody life-form contribution to vascular plant species richness in a tropical American forest

inferredcites →https://doi.org/10.1007/s11676-021-01328-6openalex-snapshot

Measuring loblolly pine crowns with drone imagery through deep learning

inferredcites →https://doi.org/10.1016/j.apor.2024.104240openalex-snapshot

YOLO-MRS: An efficient deep learning-based maritime object detection method for unmanned surface vehicles

inferredcites →https://doi.org/10.1016/j.biocon.2019.108299openalex-snapshot

Global patterns of forest loss across IUCN categories of protected areas

inferredcites →https://doi.org/10.1016/j.biombioe.2024.107384openalex-snapshot

Carbon accumulation in the soil and biomass of macauba palm commercial plantations

inferredcites →https://doi.org/10.1016/j.btre.2024.e00853openalex-snapshot

Enhancing sustainability in the production of palm oil: creative monitoring methods using YOLOv7 and YOLOv8 for effective plantation management

inferredcites →https://doi.org/10.1016/j.compag.2021.106560openalex-snapshot

Deep neural network based date palm tree detection in drone imagery

inferredcites →https://doi.org/10.1016/j.jag.2022.102946openalex-snapshot

Automatic detection of snow breakage at single tree level using YOLOv5 applied to UAV imagery

inferredcites →https://doi.org/10.1016/j.procs.2022.01.135openalex-snapshot

A Review of Yolo Algorithm Developments

inferredcites →https://doi.org/10.1016/j.rsase.2022.100914openalex-snapshot

Automatic detection and counting of oil palm trees using remote sensing and object-based deep learning

inferredcites →https://doi.org/10.1016/j.rse.2016.08.013openalex-snapshot

Review of studies on tree species classification from remotely sensed data

inferredcites →https://doi.org/10.1016/j.rse.2017.09.037openalex-snapshot

Identifying the genus or species of individual trees using a three-wavelength airborne lidar system

inferredcites →https://doi.org/10.1016/j.rse.2019.111285openalex-snapshot

Mapping annual land use changes in China's poverty-stricken areas from 2013 to 2018

inferredcites →https://doi.org/10.1016/j.rse.2021.112397openalex-snapshot

Individual tree crown detection from high spatial resolution imagery using a revised local maximum filtering

inferredcites →https://doi.org/10.1016/j.rse.2021.112582openalex-snapshot

Monitoring restored tropical forest diversity and structure through UAV-borne hyperspectral and lidar fusion

inferredcites →https://doi.org/10.1016/j.rse.2022.112912openalex-snapshot

Quantifying tropical forest structure through terrestrial and UAV laser scanning fusion in Australian rainforests

inferredcites →https://doi.org/10.1016/j.rse.2022.113143openalex-snapshot

Individual tree segmentation and tree species classification in subtropical broadleaf forests using UAV-based LiDAR, hyperspectral, and ultrahigh-resolution RGB data

inferredcites →https://doi.org/10.1016/j.tfp.2024.100580openalex-snapshot

Native species diversity associated with Bosque Palmeras de Ocol in the Amazonas region, Peru

inferredcites →https://doi.org/10.1079/pwkb.species.20295openalex-snapshot

Elaeis guineensis (African oil palm)

inferredcites →https://doi.org/10.1080/01431161.2018.1513669openalex-snapshot

Automatic detection of individual oil palm trees from UAV images using HOG features and an SVM classifier

inferredcites →https://doi.org/10.1080/17538947.2023.2173318openalex-snapshot

An object detection method for bayberry trees based on an improved YOLO algorithm

inferredcites →https://doi.org/10.1088/1748-9326/10/12/124004openalex-snapshot

Land use patterns and related carbon losses following deforestation in South America

inferredcites →https://doi.org/10.1088/1748-9326/ad86ceopenalex-snapshot

Southeast Asian biodiversity is a fifth lower in deforested versus intact forests

inferredcites →https://doi.org/10.1088/1755-1315/974/1/012058openalex-snapshot

Recognition and counting of oil palm tree with deep learning using satellite image

inferredcites →https://doi.org/10.1109/access.2023.3330844openalex-snapshot

DS-YOLOv8-Based Object Detection Method for Remote Sensing Images

inferredcites →https://doi.org/10.1109/cvpr.2014.81openalex-snapshot

Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation

inferredcites →https://doi.org/10.1109/cvpr.2016.91openalex-snapshot

You Only Look Once: Unified, Real-Time Object Detection

inferredcites →https://doi.org/10.1109/eecsi59885.2023.10295670openalex-snapshot

Unmanned Aerial Vehicle for Remote Sensing Detection of Oil Palm Trees Using You Only Look Once and Convolutional Neural Network

inferredcites →https://doi.org/10.1109/igarss46834.2022.9884126openalex-snapshot

Autonomous Palm Tree Detection from Remote Sensing Images - UAE Dataset

inferredcites →https://doi.org/10.1109/tpami.2016.2577031openalex-snapshot

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

inferredcites →https://doi.org/10.1111/boj.12419openalex-snapshot

The Neogene rise of the tropical Andes facilitated diversification of wax palms ( Ceroxylon : Arecaceae) through geographical colonization and climatic niche separation

inferredcites →https://doi.org/10.1145/3626641.3626667openalex-snapshot

Detection of Oil Palm Trees Using Deep Learning Method with High-Resolution Aerial Image Data

inferredcites →https://doi.org/10.14569/ijacsa.2024.0150786openalex-snapshot

Implementation of Slicing Aided Hyper Inference (SAHI) in YOLOv8 to Counting Oil Palm Trees Using High-Resolution Aerial Imagery Data

inferredcites →https://doi.org/10.15517/rbt.v69i2.44835openalex-snapshot

Phenology of the endangered palm Ceroxylon quindiuense (Arecaceae) along an altitudinal gradient in Colombia

inferredcites →https://doi.org/10.28991/cej-2024-010-06-01openalex-snapshot

Optimizing Landfill Site Selection Using Fuzzy-AHP and GIS for Sustainable Urban Planning

inferredcites →https://doi.org/10.3389/fpls.2024.1381367openalex-snapshot

Large field-of-view pine wilt disease tree detection based on improved YOLO v4 model with UAV images

inferredcites →https://doi.org/10.3389/fpls.2024.1423338openalex-snapshot

Research progress and prospect of key technologies of fruit target recognition for robotic fruit picking

inferredcites →https://doi.org/10.3390/agronomy14030557openalex-snapshot

An Analysis of the Rice-Cultivation Dynamics in the Lower Utcubamba River Basin Using SAR and Optical Imagery in Google Earth Engine (GEE)

inferredcites →https://doi.org/10.3390/ani12141794openalex-snapshot

Potential Current and Future Distribution of the Long-Whiskered Owlet (Xenoglaux loweryi) in Amazonas and San Martin, NW Peru

inferredcites →https://doi.org/10.3390/drones7020093openalex-snapshot

Large-Scale Date Palm Tree Segmentation from Multiscale UAV-Based and Aerial Images Using Deep Vision Transformers

inferredcites →https://doi.org/10.3390/drones7030183openalex-snapshot

Deep Learning-Based Pine Nematode Trees’ Identification Using Multispectral and Visible UAV Imagery

inferredcites →https://doi.org/10.3390/drones7060336openalex-snapshot

Crown Width Extraction of Metasequoia glyptostroboides Using Improved YOLOv7 Based on UAV Images

inferredcites →https://doi.org/10.3390/f12020250openalex-snapshot

Influence of Agisoft Metashape Parameters on UAS Structure from Motion Individual Tree Detection from Canopy Height Models

inferredcites →https://doi.org/10.3390/f13081332openalex-snapshot

A Small Target Forest Fire Detection Model Based on YOLOv5 Improvement

inferredcites →https://doi.org/10.3390/f15020293openalex-snapshot

Individual Tree Species Identification for Complex Coniferous and Broad-Leaved Mixed Forests Based on Deep Learning Combined with UAV LiDAR Data and RGB Images

inferredcites →https://doi.org/10.3390/f15060992openalex-snapshot

Estimating the Vertical Distribution of Biomass in Subtropical Tree Species Using an Integrated Random Forest and Least Squares Machine Learning Mode

inferredcites →https://doi.org/10.3390/f15081374openalex-snapshot

Assessment of Trees’ Structural Defects via Hybrid Deep Learning Methods Used in Unmanned Aerial Vehicle (UAV) Observations

inferredcites →https://doi.org/10.3390/land11030412openalex-snapshot

Urban Parks Hydrological Regime in the Context of Climate Change—A Case Study of Štěpánka Forest Park (Mladá Boleslav, Czech Republic)

inferredcites →https://doi.org/10.3390/plants9121654openalex-snapshot

A Phytosociological Study on Andean Rainforests of Peru, and a Comparison with the Surrounding Countries

inferredcites →https://doi.org/10.3390/rs12081287openalex-snapshot

Computer Vision and Deep Learning Techniques for the Analysis of Drone-Acquired Forest Images, a Transfer Learning Study

inferredcites →https://doi.org/10.3390/rs12081288openalex-snapshot

Tree Crown Delineation Algorithm Based on a Convolutional Neural Network

inferredcites →https://doi.org/10.3390/rs14020295openalex-snapshot

Comparison of Classical Methods and Mask R-CNN for Automatic Tree Detection and Mapping Using UAV Imagery

inferredcites →https://doi.org/10.3390/rs14030799openalex-snapshot

Early Detection of Basal Stem Rot Disease in Oil Palm Tree Using Unmanned Aerial Vehicle-Based Hyperspectral Imaging

inferredcites →https://doi.org/10.3390/rs15102598openalex-snapshot

YOLO for Penguin Detection and Counting Based on Remote Sensing Images

inferredcites →https://doi.org/10.3390/rs15163963openalex-snapshot

On-Board Multi-Class Geospatial Object Detection Based on Convolutional Neural Network for High Resolution Remote Sensing Images

inferredcites →https://doi.org/10.3390/rs16020335openalex-snapshot

Tree-Level Chinese Fir Detection Using UAV RGB Imagery and YOLO-DCAM

inferredcites →https://doi.org/10.3390/rs16203810openalex-snapshot

A Coffee Plant Counting Method Based on Dual-Channel NMS and YOLOv9 Leveraging UAV Multispectral Imaging

inferredcites →https://doi.org/10.4067/s0718-07642021000500013openalex-snapshot

Especies con potencial para sistemas agroforestales en el Departamento del Magdalena, Colombia

inferredcites →https://doi.org/10.4230/oasics.ng-res.2024.2openalex-snapshot

A Multi-Modal Distributed Real-Time IoT System for Urban Traffic Control (Invited Paper)

inferredcites →https://doi.org/10.48550/arxiv.2004.10934openalex-snapshot

YOLOv4: Optimal Speed and Accuracy of Object Detection

inferredcites →https://doi.org/10.48550/arxiv.2209.02976openalex-snapshot

YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications

inferredcites →https://doi.org/10.5194/isprs-archives-xlii-2-w13-625-2019openalex-snapshot

USING DJI PHANTOM 4 RTK DRONE FOR TOPOGRAPHIC MAPPING OF COASTAL AREAS

inferredcites →https://doi.org/10.5220/0009165800750087openalex-snapshot

Comparison of Algorithms for Tree-top Detection in Drone Image Mosaics of Japanese Mixed Forests

inferredcites →https://doi.org/10.5455/njppp.2023.13.02060202312032023openalex-snapshot

Assessment of drug marketing literature systematically using the WHO criteria

inferredcites →https://doi.org/10.9734/ijecc/2021/v11i530409openalex-snapshot

Burning Season: Challenges to Conserve Biodiversity and the Critical Points of a Planet Threatened by the Danger Called Global Warming

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