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

Light Acquisition

Light Acquisition

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.

You might also read

Related Articles

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

Sort by

Same author

Effects of Sublethal Concentrations of Pyridaben on Development, Reproduction, and <i>Vg</i> Gene Expression in <i>Neoseiulus womersleyi</i>.

Insects·2026

Same author

Targeting the NLRP3 inflammasome alleviates the comorbidity of chronic pain and depression via enhancing the autophagy.

Scientific reports·2026

Same author

Niemann-Pick type C2 Proteins Mediate the Perception of Herbivore-Induced Plant Volatiles in the Predatory Mite <i>Neoseiulus californicus</i>.

Journal of agricultural and food chemistry·2025

Same author

Puerarin improves the comorbidity of chronic pain and depression by binding with Bax and reducing mitochondrial dysfunction.

Molecular pain·2025

Same author

A multi-channel CRISPR-based method for rapid, sensitive detection of four diseases of <i>Brassica rapa</i> in the field.

Horticulture research·2025

Same author

Sublethal Effects of Pyridaben on the Predatory Function of <i>Neoseiulus womersleyi</i>.

Insects·2024

Search research articles

Related Experiment Video

Updated: Jun 9, 2025

Cereal Crop Ear Counting in Field Conditions Using Zenithal RGB Images

Cereal Crop Ear Counting in Field Conditions Using Zenithal RGB Images

Published on: February 2, 2019

Feature diffusion reconstruction mechanism network for crop spike head detection.

Rui Ming¹, Qian Gong¹, Chen Yang¹

¹Fujian Provincial Key Laboratory of Information Processing and Intelligent Control, College of Computer and Big Data, Minjiang University, Fuzhou, China.

Frontiers in Plant Science

|October 23, 2024

Summary

FDRMNet accurately detects crop spikes using a novel feature diffusion reconstruction mechanism, improving precision agriculture. This efficient deep learning model enhances crop monitoring on resource-limited low-altitude platforms.

Keywords:

crop spike head detection and counting feature diffusion reconstruction precision agriculture unmanned aerial vehicle remote sensing

More Related Videos

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

SwarmSight: Real-time Tracking of Insect Antenna Movements and Proboscis Extension Reflex Using a Common Preparation and Conventional Hardware

SwarmSight: Real-time Tracking of Insect Antenna Movements and Proboscis Extension Reflex Using a Common Preparation and Conventional Hardware

Published on: December 25, 2017

Related Experiment Videos

Last Updated: Jun 9, 2025

Cereal Crop Ear Counting in Field Conditions Using Zenithal RGB Images

Cereal Crop Ear Counting in Field Conditions Using Zenithal RGB Images

Published on: February 2, 2019

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

SwarmSight: Real-time Tracking of Insect Antenna Movements and Proboscis Extension Reflex Using a Common Preparation and Conventional Hardware

SwarmSight: Real-time Tracking of Insect Antenna Movements and Proboscis Extension Reflex Using a Common Preparation and Conventional Hardware

Published on: December 25, 2017

Area of Science:

Agricultural Science
Computer Vision
Remote Sensing

Background:

Low-altitude remote sensing is crucial for precision agriculture, enabling crop health and yield monitoring.
Existing deep learning methods for crop spike detection lack efficiency and accuracy on resource-constrained platforms.

Purpose of the Study:

To develop an efficient and accurate crop spike detection network for low-altitude remote sensing.
To address the limitations of current methods in handling multi-scale environments and computational constraints.

Main Methods:

Proposed FDRMNet (Feature Diffusion Reconstruction Mechanism Network) with a Multi-Scale Feature Focus Reconstruction module.
Incorporated an Attention-Enhanced Feature Fusion Module for improved feature interaction.
Utilized a Lightweight Parameter Sharing Detection Head to reduce computational complexity.

Main Results:

FDRMNet achieved high performance on wheat and rice datasets, with mAP@.5 of 94.23% and 75.13%, and R² of 0.969 and 0.963.
The model demonstrated high efficiency with 227.27 and 288 FPS and low parameter count (6.8M).
Outperformed state-of-the-art methods in accuracy and computational efficiency, ranking in the top three.

Conclusions:

FDRMNet offers a practical and generalizable solution for crop spike detection and counting.
The proposed network significantly improves detection accuracy while maintaining low computational complexity.
This research provides substantial benefits for precision agriculture through efficient crop monitoring.