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

Light Acquisition02:16

Light Acquisition

8.7K
In order to produce glucose, plants need to capture sufficient light energy. Many modern plants have evolved leaves specialized for light acquisition. Leaves can be only millimeters in width or tens of meters wide, depending on the environment. Due to competition for sunlight, evolution has driven the evolution of increasingly larger leaves and taller plants, to avoid shading by their neighbors with contaminant elaboration of root architecture and mechanisms to transport water and nutrients.
8.7K
Shape and Texture of Coarse Aggregate01:25

Shape and Texture of Coarse Aggregate

317
Aggregate shape is classified based on the relative sharpness or roundness of the edges and corners. This classification includes categories like rounded, angular, elongated, and flaky, each with specific characteristics. Rounded aggregates, fully shaped by attrition, are typical of river or seashore gravel, while angular aggregates, such as crushed rock, have well-defined edges. Aggregates that are elongated and flaky are less desirable, as they can reduce the workability and strength of...
317

You might also read

Related Articles

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

Sort by
Same author

Concise Cascade Methods for Transgenic Rice Seed Discrimination using Spectral Phenotyping.

Plant phenomics (Washington, D.C.)·2023
Same author

Chemometric Approach Based on Explainable AI for Rapid Assessment of Macronutrients in Different Organic Fertilizers Using Fusion Spectra.

Molecules (Basel, Switzerland)·2023
Same author

Vision-Based Moving Obstacle Detection and Tracking in Paddy Field Using Improved Yolov3 and Deep SORT.

Sensors (Basel, Switzerland)·2020
Same author

Genetic variants of p21 and p27 and hepatocellular cancer risk in a Chinese Han population: a case-control study.

International journal of cancer·2012
Same author

Inhibition of TGF-β/Smad signaling by BAMBI blocks differentiation of human mesenchymal stem cells to carcinoma-associated fibroblasts and abolishes their protumor effects.

Stem cells (Dayton, Ohio)·2012
Same author

MAIGO2 is involved in abscisic acid-mediated response to abiotic stresses and Golgi-to-ER retrograde transport.

Physiologia plantarum·2012
Same journal

PlasmiDB: an open-source and customizable database for plasmid lifecycle management in multi-user, multi-project plant molecular biology laboratories.

Plant methods·2026
Same journal

Establishment of a protoplast isolation and transient transformation system for tung tree (Vernicia fordii).

Plant methods·2026
Same journal

Deep aerenchyma: a transformer-based pipeline for scalable phenotyping of rice root aerenchyma lacunae across environments.

Plant methods·2026
Same journal

Comparative analysis of SP3 and S-Trap sample preparation protocols for proteomic profiling associated with somatic embryogenesis efficiency in Olea europaea L.

Plant methods·2026
Same journal

DAPR-AM-Net: an end-to-end smart farming system powered by dual-attention progressive refinement and adaptive MixUp for explainable tomato leaf disease classification and forecasting.

Plant methods·2026
Same journal

Deep soil layers show the most pronounced genetic variation in wheat root length.

Plant methods·2026
See all related articles

Related Experiment Video

Updated: Oct 29, 2025

LeafJ: An ImageJ Plugin for Semi-automated Leaf Shape Measurement
08:14

LeafJ: An ImageJ Plugin for Semi-automated Leaf Shape Measurement

Published on: January 21, 2013

28.8K

Roughness measurement of leaf surface based on shape from focus.

Zeqing Zhang1, Fei Liu1, Zhenjiang Zhou1

  • 1College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, China.

Plant Methods
|July 10, 2021
PubMed
Summary
This summary is machine-generated.

A new imaging system and shape from focus method accurately measure plant leaf surface roughness. This cost-effective technique improves pesticide application research by providing detailed topography data.

Keywords:
3d-reconstructionShape from focusSurface roughness

More Related Videos

Determination of Aggregate Surface Morphology at the Interfacial Transition Zone ITZ
08:59

Determination of Aggregate Surface Morphology at the Interfacial Transition Zone ITZ

Published on: December 16, 2019

8.4K
Author Spotlight: Leaf Trait Analysis for Climate and Ecology Reconstruction in Modern and Ancient Plant Communities
10:14

Author Spotlight: Leaf Trait Analysis for Climate and Ecology Reconstruction in Modern and Ancient Plant Communities

Published on: October 25, 2024

4.0K

Related Experiment Videos

Last Updated: Oct 29, 2025

LeafJ: An ImageJ Plugin for Semi-automated Leaf Shape Measurement
08:14

LeafJ: An ImageJ Plugin for Semi-automated Leaf Shape Measurement

Published on: January 21, 2013

28.8K
Determination of Aggregate Surface Morphology at the Interfacial Transition Zone ITZ
08:59

Determination of Aggregate Surface Morphology at the Interfacial Transition Zone ITZ

Published on: December 16, 2019

8.4K
Author Spotlight: Leaf Trait Analysis for Climate and Ecology Reconstruction in Modern and Ancient Plant Communities
10:14

Author Spotlight: Leaf Trait Analysis for Climate and Ecology Reconstruction in Modern and Ancient Plant Communities

Published on: October 25, 2024

4.0K

Area of Science:

  • Agricultural Engineering
  • Optics and Photonics
  • Surface Science

Background:

  • Leaf surface roughness significantly impacts wettability and pesticide application efficiency.
  • Existing roughness measurement tools are costly, lack portability for field use, and may have limitations like SEM's pixel intensity-height relationship.
  • Accurate leaf surface characterization is crucial for agricultural research and development.

Purpose of the Study:

  • To develop a portable and cost-effective imaging system for measuring plant leaf surface roughness.
  • To propose an improved Shape from Focus (SFF) algorithm for precise 3D reconstruction and roughness measurement.
  • To overcome limitations of traditional surface characterization methods in agricultural contexts.

Main Methods:

  • An imaging system with variable object distance was designed to capture plant leaf images.
  • A novel algorithm based on Shape from Focus (SFF) was developed, incorporating image alignment and focus distortion correction.
  • The algorithm utilizes NaN values for enhanced precision in 3D reconstruction and small-scale roughness analysis.

Main Results:

  • The proposed method successfully obtained plant leaf surface roughness from space-variantly blurred images.
  • The SFF algorithm demonstrated improved performance through enhanced image processing techniques.
  • Experiments on standard gauge blocks yielded a Root Mean Square Error (RMSE) of approximately 4.44 µm for step measurements.

Conclusions:

  • The developed method offers superior cost performance compared to optical 3D interference microscopy while preserving leaf surface topography.
  • The SFF method, particularly with the SML focus measure operator, shows high potential for precise surface roughness measurement.
  • This technique provides a valuable tool for agricultural research, aiding in the optimization of pesticide application and understanding plant-environment interactions.