Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Cluster Sampling Method

Cluster Sampling Method

Appropriate sampling methods ensure that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
To choose a cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. All the members from these clusters are in the cluster sample. For example, if you randomly sample four departments from your...

Force Classification

Force Classification

Forces play a crucial role in the study of physics and engineering. They are essential in describing the motion, behavior, and equilibrium of objects in the physical world. Forces can be classified based on their origin, type, and direction of action.
Contact and non-contact forces are two of the most widely used categories of forces. As the name suggests, contact forces require physical contact between two objects to act upon each other. Examples of contact forces include frictional,...

You might also read

Related Articles

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

Sort by

Same author

Crosstalk Regulation Between Vesicle Trafficking and Ion Transport in Plant Response to Abiotic Stresses.

Plant, cell & environment·2026

Same author

[Machine learning-optimized solid-state fermentation of non-grain biomass for enhanced feed protein production].

Sheng wu gong cheng xue bao = Chinese journal of biotechnology·2026

Same author

Complementary Thiourethane-Boronate Chemistry for the Covalent Integration of Hyaluronic Acid into Dynamic Polyurethane Networks.

Biomacromolecules·2026

Same author

Visible-light-mediated propargylation of phenols/thiophenols <i>via</i> organic photocatalysis.

Chemical communications (Cambridge, England)·2026

Same author

Quaternary Ammonium Compound Induced Electrocardiogram Abnormalities with Body Fat as a Potential Effect Modifier: A Longitudinal Multiomics Panel Study in Elderly Adults.

Environmental science & technology·2026

Same author

Extraordinary acoustic transmission and enhanced focusing by metasurface ultrasonic transducers.

Ultrasonics·2026

Search research articles

Related Experiment Video

Updated: Jul 26, 2025

Author Spotlight: UAV Remote Sensing for Efficient Invasive Plant Biomass Estimation

Author Spotlight: UAV Remote Sensing for Efficient Invasive Plant Biomass Estimation

Published on: February 9, 2024

Research on multi-cluster green persimmon detection method based on improved Faster RCNN.

Yangyang Liu¹, Huimin Ren¹, Zhi Zhang¹

¹School of Engineering, Anhui Agricultural University, Hefei, Anhui, China.

Frontiers in Plant Science

|June 22, 2023

Summary

This study introduces an improved Faster R-CNN model for accurately identifying green persimmons in natural environments. The enhanced method significantly boosts detection accuracy and speed, aiding in fruit monitoring and yield estimation.

Keywords:

DetNet attention mechanism multi-cluster green persimmon recognition multi-scale feature fusion occlusion images

More Related Videos

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images

A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images

Published on: April 21, 2023

Related Experiment Videos

Last Updated: Jul 26, 2025

Author Spotlight: UAV Remote Sensing for Efficient Invasive Plant Biomass Estimation

Author Spotlight: UAV Remote Sensing for Efficient Invasive Plant Biomass Estimation

Published on: February 9, 2024

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images

A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images

Published on: April 21, 2023

Area of Science:

Agricultural technology
Computer vision
Machine learning

Background:

Accurate recognition of green persimmons is challenging due to similar colors to the background in natural settings.
Existing methods struggle with localization and identification in complex environments with occlusions.

Purpose of the Study:

To develop an improved Faster R-CNN model for accurate multi-cluster green persimmon identification and localization.
To enhance detection accuracy and speed for real-world applications like fruit monitoring.

Main Methods:

Utilized a self-built green persimmon dataset and the DetNet feature extractor.
Incorporated a weighted ECA channel attention mechanism to focus on target objects.
Employed a serial layer-hopping connection for multi-scale feature fusion and K-means clustering for bounding box anchoring.

Main Results:

Achieved an average mean accuracy (mAP) of 98.4%, an 11.8% improvement over the traditional Faster R-CNN.
Reduced average detection time per image by 0.54 seconds.
Demonstrated significant enhancements in both accuracy and detection speed.

Conclusions:

The improved Faster R-CNN model effectively addresses challenges in green persimmon detection under natural conditions.
The method provides a robust foundation for real-time green fruit growth monitoring and intelligent yield estimation.