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

Intracellular Signaling Cascades01:24

Intracellular Signaling Cascades

53.4K
Once a ligand binds to a receptor, the signal is transmitted through the membrane and into the cytoplasm. The continuation of a signal in this manner is called signal transduction. Signal transduction only occurs with cell-surface receptors, which cannot interact with most components of the cell, such as DNA. Only internal receptors can interact directly with DNA in the nucleus to initiate protein synthesis. When a ligand binds to its receptor, conformational changes occur that affect the...
53.4K
Classifying Matter by Composition03:35

Classifying Matter by Composition

89.8K
Matter: Pure Substances and Mixtures
According to its composition, the matter can be classified into two broad categories — pure substances and mixtures. 
A pure substance is a form of matter that has a constant composition throughout with uniform properties. For example, any sample of sucrose has the same composition and same physical properties, such as melting point, color, and sweetness, regardless of the source from which it is isolated. 
A mixture is composed of two or...
89.8K
Rab Cascades01:25

Rab Cascades

3.5K
Rab GTPases act in a regulated cascade during membrane fusion, helping the lipid bilayers mix. The Rab family of proteins are active when bound to GTP, and inactive when bound to GDP. Hence, they act as guanine nucleotide-dependent molecular switches. Rab-GTP recognizes and binds to long or short-range tethering proteins to capture the target vesicle. These tethers coordinate with SNAREs on the vesicle and the target membrane to assemble the trans SNARE complex that locks the mixing bilayers.
3.5K
Classifying Matter by State02:49

Classifying Matter by State

102.7K
Chemistry is the study of matter and the changes it undergoes. Matter is anything that has mass and occupies space. Matter is all around us; the air, water, soil, mountains, even our bodies are all examples of matter. Matter is divided into three states — solid, liquid, and gas — that are commonly found on earth. The fourth state of matter, plasma, occurs naturally in the interiors of stars. 
102.7K
Cascaded Op Amps01:16

Cascaded Op Amps

1.1K
Operational amplifiers (op-amps) are versatile electronic components that can be interconnected in a cascade - one after another in a linear sequence. This cascading is possible due to their infinite input resistance and zero output resistance, allowing them to maintain their input-output relationships even when connected in series.
In a cascaded system, each op-amp is referred to as a stage. The output of one stage drives the input of the subsequent stage. As the input signal passes through...
1.1K
MAPK Signaling Cascades01:07

MAPK Signaling Cascades

8.0K
Mitogen-activated protein kinase, or MAPK pathway, activates three sequential kinases to regulate cellular responses such as proliferation, differentiation, survival, and apoptosis. The canonical MAPK pathway starts with a mitogen or growth factor binding to an RTK. The activated RTKs stimulate Ras, which recruits Raf or MAP3 Kinase (MAPKKK), the first kinase of the MAPK signaling cascade. Raf further phosphorylates and activates MEK or MAP2 Kinases (MAPKK), which in turn phosphorylates MAP...
8.0K

You might also read

Related Articles

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

Sort by
Same author

PneuNet: a lightweight convolutional neural network with multiscale feature fusion for automated pneumonia detection from chest X-rays.

Frontiers in medicine·2026
Same author

Synergistic medical genetic evolutionary optimization and deep convolutional generative augmentation with SHAP-driven interpretability for precise Alzheimer's disease severity grading.

Brain informatics·2025
Same author

Gluten identification from food images using advanced deep learning and transfer learning methods.

Journal of food science and technology·2025
Same author

CRP improves the survival and competitive fitness of <i>Salmonella</i> Typhimurium under starvation by controlling the cellular maintenance rate.

Journal of bacteriology·2024
Same author

Cold Plasma: Clean Technology to Destroy Pathogenic Micro-organisms.

Transactions of the Indian National Academy of Engineering : an international journal of engineering and technology·2024
Same author

NtrC Increases Fitness of Salmonella enterica Serovar Typhimurium under Low and Fluctuating Nutrient Conditions.

Journal of bacteriology·2022
Same journal

Poly(bromophenol blue)/CoSn(OH)<sub>6</sub> cubic particles modified pencil graphite electrode for electrochemical determination of diphenhydramine.

Scientific reports·2026
Same journal

Dietary Chlorella, Spirulina, and acidifier modulate jejunal cytokine-related gene expression in broiler chickens.

Scientific reports·2026
Same journal

Perceived physical activity barriers in university students: associations with fatigue and eating behaviours.

Scientific reports·2026
Same journal

Refuge limitation structures habitat use in agricultural landscapes: evidence from Sunda pangolins.

Scientific reports·2026
Same journal

Lightweight stateless transaction verification with outsourced witness updates for UTXO blockchains.

Scientific reports·2026
Same journal

Efficacy of historical context and exogenous features on deep learning for cooling load forecasting in chilled water plants.

Scientific reports·2026
See all related articles

Related Experiment Video

Updated: Jan 23, 2026

Study Design for Navigated Repetitive Transcranial Magnetic Stimulation for Speech Cortical Mapping
09:16

Study Design for Navigated Repetitive Transcranial Magnetic Stimulation for Speech Cortical Mapping

Published on: March 24, 2023

2.0K

Water hyacinth detection for autonomous navigation mapping using image segmentation cascaded classifier.

D Saranyaraj1, N Govardanan2, Sri Nirmal Kumar3

  • 1School of Computer Science and Engineering, Vellore Institute of Technology, Chennai, Tamil Nadu, India. saranyaraj.d@vit.ac.in.

Scientific Reports
|January 21, 2026
PubMed
Summary
This summary is machine-generated.

An autonomous catamaran system effectively detects and removes invasive water hyacinth using AI. This low-cost, open-design solution offers scalable, eco-friendly aquatic weed management for small water bodies.

Keywords:
Autonomous navigationImage segmentationPattern recognitionUNetVGG19 classifierWater hyacinth

More Related Videos

Brain Infarct Segmentation and Registration on MRI or CT for Lesion-symptom Mapping
10:25

Brain Infarct Segmentation and Registration on MRI or CT for Lesion-symptom Mapping

Published on: September 25, 2019

49.3K
Translaminar Autonomous System Model for the Modulation of Intraocular and Intracranial Pressure in Human Donor Posterior Segments
08:55

Translaminar Autonomous System Model for the Modulation of Intraocular and Intracranial Pressure in Human Donor Posterior Segments

Published on: April 24, 2020

3.5K

Related Experiment Videos

Last Updated: Jan 23, 2026

Study Design for Navigated Repetitive Transcranial Magnetic Stimulation for Speech Cortical Mapping
09:16

Study Design for Navigated Repetitive Transcranial Magnetic Stimulation for Speech Cortical Mapping

Published on: March 24, 2023

2.0K
Brain Infarct Segmentation and Registration on MRI or CT for Lesion-symptom Mapping
10:25

Brain Infarct Segmentation and Registration on MRI or CT for Lesion-symptom Mapping

Published on: September 25, 2019

49.3K
Translaminar Autonomous System Model for the Modulation of Intraocular and Intracranial Pressure in Human Donor Posterior Segments
08:55

Translaminar Autonomous System Model for the Modulation of Intraocular and Intracranial Pressure in Human Donor Posterior Segments

Published on: April 24, 2020

3.5K

Area of Science:

  • Robotics and Automation
  • Environmental Science
  • Artificial Intelligence

Background:

  • Water hyacinth (Eichhornia crassipes) is a highly invasive aquatic weed causing significant ecological and economic damage globally.
  • Existing removal methods are often costly, labor-intensive, or environmentally disruptive.
  • There is a need for efficient, targeted, and sustainable solutions for managing aquatic vegetation in small to medium water bodies.

Purpose of the Study:

  • To develop and evaluate a low-cost, autonomous catamaran system for detecting and mechanically removing water hyacinth.
  • To implement a robust AI-powered perception pipeline for accurate vegetation identification and localization.
  • To demonstrate the system's effectiveness in real-world conditions for practical aquatic weed management.

Main Methods:

  • A 75 cm twin-hull catamaran vessel was constructed using 3D-printed PETG, equipped with twin brushless DC motors and a conveyor-belt collector.
  • A perception pipeline featuring UNet for image segmentation and VGG19 for classification was deployed on an NVIDIA Jetson Nano for real-time detection.
  • Autonomous navigation was achieved by mapping detection results to image quadrants and issuing rudder commands to center targets.

Main Results:

  • The UNet model achieved a mean Dice coefficient of 0.906 and mean IoU of 0.831 for aquatic vegetation segmentation.
  • The VGG19 classifier accurately identified water hyacinth with 96% accuracy, 0.97 precision, 0.95 recall, and 0.96 F1-score.
  • Field trials in Chennai, India, demonstrated stable autonomous operation, effective navigation, and successful collection of up to 25 kg of biomass under diverse conditions.

Conclusions:

  • The developed autonomous catamaran system provides an effective, low-cost solution for targeted water hyacinth removal.
  • The AI-driven perception system ensures accurate detection and discrimination of invasive weeds.
  • This scalable, open-design technology supports sustainable aquatic ecosystem management and aligns with UN Sustainable Development Goals 6 and 9.