Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Topographic Surveying and Contours01:29

Topographic Surveying and Contours

720
Topographic surveying is critical for documenting the Earth's surface, focusing on capturing elevations, slopes, and natural and man-made features. It is essential in construction planning, water resource management, and land-use analysis. The primary outcome of such surveys is a topographic map, which uses contour lines to visually represent the shape and slope of the terrain, providing valuable insights into the landscape's characteristics.Contour lines are fundamental to understanding the...
720
Design Example: Identifying the Locations of Monuments in the Field Using Global Positioning System Device01:30

Design Example: Identifying the Locations of Monuments in the Field Using Global Positioning System Device

318
Surveyors use Global Positioning System (GPS) technology to measure the precise location and elevation of points on Earth. In a recent survey, GPS receivers were used to determine the coordinates and elevations of two park monuments. The process involved careful mission planning, data collection, and correction to ensure accuracy. The survey began with mission planning to identify optimal satellite visibility and minimize Position Dilution of Precision (PDOP). A geodetic control point...
318

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Fast Forward the Future: What Are the Key Drivers in Intelligent Sensing for Agriculture?

Plants (Basel, Switzerland)·2026
Same author

Ground-based imagery dataset for early weed classification in tomato crops.

Data in brief·2025
Same author

Response of Nearby Sensors to Variable Doses of Nitrogen Fertilization in Winter Fodder Crops Under Mediterranean Climate.

Sensors (Basel, Switzerland)·2025
Same author

Programmed DNA elimination drives rapid genomic innovation in two thirds of all bird species.

bioRxiv : the preprint server for biology·2025
Same author

Intelligent Inter- and Intra-Row Early Weed Detection in Commercial Maize Crops.

Plants (Basel, Switzerland)·2025
Same author

Mapping and quantifying medium-term soil loss rates in mountain olive groves using unmanned aerial vehicle technology.

MethodsX·2024

Related Experiment Video

Updated: Dec 28, 2025

Collecting and Processing Drone-based Remotely Sensed Data for Use in Forest Recovery Monitoring
08:16

Collecting and Processing Drone-based Remotely Sensed Data for Use in Forest Recovery Monitoring

Published on: October 24, 2025

360

On-Ground Vineyard Reconstruction Using a LiDAR-Based Automated System.

Hugo Moreno1, Constantino Valero2, José María Bengochea-Guevara1

  • 1Centre for Automation and Robotics, CAR-CSIC, Arganda del Rey, 28500 Madrid, Spain.

Sensors (Basel, Switzerland)
|February 23, 2020
PubMed
Summary
This summary is machine-generated.

Light detection and ranging (LiDAR) technology accurately reconstructs vineyard crops in 3D, enabling precise site-specific management and yield prediction. This 3D modeling provides high-resolution data for biomass estimation and automated pruning strategies.

Keywords:
laser measurementsplant volume estimationvineshoot volumevineyard proximal sensing

More Related Videos

Use of Principal Components for Scaling Up Topographic Models to Map Soil Redistribution and Soil Organic Carbon
09:44

Use of Principal Components for Scaling Up Topographic Models to Map Soil Redistribution and Soil Organic Carbon

Published on: October 16, 2018

10.6K
Measuring and Mapping Patterns of Soil Erosion and Deposition Related to Soil Carbonate Concentrations Under Agricultural Management
08:09

Measuring and Mapping Patterns of Soil Erosion and Deposition Related to Soil Carbonate Concentrations Under Agricultural Management

Published on: September 12, 2017

12.2K

Related Experiment Videos

Last Updated: Dec 28, 2025

Collecting and Processing Drone-based Remotely Sensed Data for Use in Forest Recovery Monitoring
08:16

Collecting and Processing Drone-based Remotely Sensed Data for Use in Forest Recovery Monitoring

Published on: October 24, 2025

360
Use of Principal Components for Scaling Up Topographic Models to Map Soil Redistribution and Soil Organic Carbon
09:44

Use of Principal Components for Scaling Up Topographic Models to Map Soil Redistribution and Soil Organic Carbon

Published on: October 16, 2018

10.6K
Measuring and Mapping Patterns of Soil Erosion and Deposition Related to Soil Carbonate Concentrations Under Agricultural Management
08:09

Measuring and Mapping Patterns of Soil Erosion and Deposition Related to Soil Carbonate Concentrations Under Agricultural Management

Published on: September 12, 2017

12.2K

Area of Science:

  • Agricultural Engineering
  • Remote Sensing
  • Geospatial Analysis

Background:

  • 3D crop modeling is crucial for site-specific agricultural management.
  • Light detection and ranging (LiDAR) technology offers high-resolution plant architecture data.
  • Accurate biophysical parameter extraction supports informed decision-making in agriculture.

Purpose of the Study:

  • To reconstruct vineyard crops in 3D using LiDAR technology.
  • To assess the accuracy and performance of LiDAR for vineyard characterization.
  • To obtain 3D models for extracting height and branch volume.

Main Methods:

  • A LiDAR sensor mounted on a mobile platform with an RTK-GNSS receiver was used for 2D scanning.
  • High-density 3D point clouds were generated by fusing LiDAR impacts with RTK-GPS positions.
  • Alpha shapes were employed to create 3D object surfaces for volume calculation.

Main Results:

  • LiDAR-based 3D models showed strong correlations with actual biomass (R² = 0.75) and weight (R² = 0.85).
  • The system accurately detected narrow branches, demonstrating effectiveness in defoliated crop scenarios.
  • The number of LiDAR scans positively influenced the relationship with biomass measurements.

Conclusions:

  • LiDAR technology is a valid and advantageous method for accurate 3D branch reconstruction in vineyards.
  • The generated 3D models can be utilized for automated pruning and future yield evaluation.
  • High sampling resolution and rates make LiDAR superior to other non-contact ranging sensors for this application.