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

The Tree of Life - Bacteria, Archaea, Eukaryotes02:40

The Tree of Life - Bacteria, Archaea, Eukaryotes

39.3K
The “tree of life” describes the evolution of life and the evolutionary relationships between organisms. The root of the tree is the common ancestor to all life on Earth. All other species radiate from this point, much like the branches of a tree. The numerous tips of these branches on the tree of life represent every living, or extant, species. Extinct species, which are species that no longer exist, can be found towards the center of the tree. Currently, these organisms, both...
39.3K
The Sense of Self: Reflected Self-Appraisal and Social Comparison02:57

The Sense of Self: Reflected Self-Appraisal and Social Comparison

56.2K
According to Charles Cooley, we base our image on what we think other people see (Cooley 1902). We imagine how we must appear to others, then react to this speculation. We don certain clothes, prepare our hair in a particular manner, wear makeup, use cologne, and the like—all with the notion that our presentation of ourselves is going to affect how others perceive us. We expect a certain reaction, and, if lucky, we get the one we desire and feel good about it. But more than that, Cooley...
56.2K
Survival Tree01:19

Survival Tree

437
Survival trees are a non-parametric method used in survival analysis to model the relationship between a set of covariates and the time until an event of interest occurs, often referred to as the "time-to-event" or "survival time." This method is particularly useful when dealing with censored data, where the event has not occurred for some individuals by the end of the study period, or when the exact time of the event is unknown.
 Building a Survival Tree
Constructing a...
437
Phylogenetic Trees03:21

Phylogenetic Trees

49.9K
Phylogenetic trees come in many forms. It matters in which sequence the organisms are arranged from the bottom to the top of the tree, but the branches can rotate at their nodes without altering the information. The lines connecting individual nodes can be straight, angled, or even curved.
49.9K
The Bronchial Tree01:23

The Bronchial Tree

6.9K
The human bronchi and bronchial tree play a crucial role in the respiratory system, facilitating the exchange of oxygen and carbon dioxide. Let's delve into the intricate structure and functions of these respiratory components.
The trachea, commonly known as the windpipe, is a tube that connects the larynx (voice box) to the bronchi. At a point called the carina, it bifurcates into two primary bronchi. The right primary bronchus is wider, shorter, and more vertical than the left primary...
6.9K
Stereotype Content Model02:16

Stereotype Content Model

15.5K
The Stereotype Content Model (SCM) was first proposed by Susan Fiske and her colleagues (Fiske, Cuddy, Glick & Xu, 2002; see also Fiske, 2012 and Fiske, 2017). The SCM specifies that when someone encounters a new group, they will stereotype them based on two metrics: warmth—or that group’s perceived intent, and how likely they are to provide help or inflict harm—and competence—or their ability to carry out that objective. Depending on the warmth-competence...
15.5K

You might also read

Related Articles

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

Sort by
Same author

Anisotropic Black Phosphorus Synaptic Device for Neuromorphic Applications.

Advanced materials (Deerfield Beach, Fla.)·2016
Same author

An accurate clone-based haplotyping method by overlapping pool sequencing.

Nucleic acids research·2016
Same author

Upregulation of proangiogenic factors expression in the synovium of temporomandibular joint condylar hyperplasia.

Oral surgery, oral medicine, oral pathology and oral radiology·2016
Same author

Synthesis and Applications of π-Extended Naphthalene Diimides.

Chemical record (New York, N.Y.)·2016
Same author

Observation of the Singly Cabibbo-Suppressed Decay D^{+}→ωπ^{+} and Evidence for D^{0}→ωπ^{0}.

Physical review letters·2016
Same author

Circular RNAs: a new frontier in the study of human diseases.

Journal of medical genetics·2016

Related Experiment Video

Updated: Feb 13, 2026

Femtosecond Laser Filaments for Use in Sub-Diffraction-Limited Imaging and Remote Sensing
06:16

Femtosecond Laser Filaments for Use in Sub-Diffraction-Limited Imaging and Remote Sensing

Published on: April 25, 2019

8.0K

Estimating apple tree canopy chlorophyll content based on Sentinel-2A remote sensing imaging.

Cheng Li1, Xicun Zhu2,3, Yu Wei1

  • 1College of Resources and Environment, Shandong Agricultural University, Tai'an, 271018, China.

Scientific Reports
|March 2, 2018
PubMed
Summary

Supported Vector Machine Regression (SVMR) models utilizing specific vegetation indices from Sentinel-2 data offer a more accurate and stable method for estimating apple tree chlorophyll content compared to Back-Propagation Neural Networks (BPNN).

More Related Videos

The Calibration and Use of Capacitance Sensors to Monitor Stem Water Content in Trees
08:31

The Calibration and Use of Capacitance Sensors to Monitor Stem Water Content in Trees

Published on: December 27, 2017

13.3K
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

630

Related Experiment Videos

Last Updated: Feb 13, 2026

Femtosecond Laser Filaments for Use in Sub-Diffraction-Limited Imaging and Remote Sensing
06:16

Femtosecond Laser Filaments for Use in Sub-Diffraction-Limited Imaging and Remote Sensing

Published on: April 25, 2019

8.0K
The Calibration and Use of Capacitance Sensors to Monitor Stem Water Content in Trees
08:31

The Calibration and Use of Capacitance Sensors to Monitor Stem Water Content in Trees

Published on: December 27, 2017

13.3K
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

630

Area of Science:

  • Agricultural Remote Sensing
  • Plant Physiology
  • Machine Learning Applications in Agriculture

Background:

  • Remote sensing offers rapid, cost-effective, and large-scale monitoring of chlorophyll content in apple trees.
  • Back-Propagation Neural Network (BPNN) and Supported Vector Machine Regression (SVMR) are common methods for developing remote sensing-based estimation models.
  • Vegetation indices derived from visible, red edge, and near-infrared bands are crucial for assessing plant health.

Purpose of the Study:

  • To compare the accuracy and stability of SVMR and BPNN models for estimating apple tree canopy chlorophyll content.
  • To evaluate models based on vegetation indices derived from Sentinel-2 sensor bands.

Main Methods:

  • Developed estimation models using Supported Vector Machine Regression (SVMR) and Back-Propagation Neural Network (BPNN).
  • Utilized vegetation indices (NDVIgreen + NDVIred + NDVIre) constructed from visible, red edge, and near-infrared bands of the Sentinel-2 sensor.
  • Validated model performance using calibration and validation datasets, assessing coefficient of determination (R²) and root mean square error (RMSE).

Main Results:

  • The SVMR model achieved higher calibration set R² (0.729) and validation set R² (0.667) compared to the BPNN model, showing improvements of 8.2% and 11.0%, respectively.
  • The SVMR model demonstrated lower calibration set RMSE (0.159) and validation set RMSE (0.178) than the BPNN model, with reductions of 5.9% and 3.8%, respectively.
  • SVMR proved to be a more accurate and stable method for chlorophyll content estimation.

Conclusions:

  • Supported Vector Machine Regression (SVMR) is a superior method for developing accurate and stable remote sensing-based models for apple tree chlorophyll content estimation.
  • Vegetation indices derived from Sentinel-2 data, particularly NDVIgreen, NDVIred, and NDVIre, are effective inputs for these models.
  • This approach provides a valuable tool for precision agriculture and efficient orchard management.