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

Hybrid deep feature fusion and ensemble learning for multi-class skin lesion classification.

Frontiers in artificial intelligence·2026

Same author

Checkpoint inhibition and beyond: Precision immune engineering for the immune-privileged landscape of ocular malignancies.

BioImpacts : BI·2026

Same author

Comparison of Alert, Response to Verbal Stimulus, Response to Pain, Unresponsive (AVPU) Scale with Pediatric Glasgow Coma Scale for Assessing Level of Consciousness in Infants and Children.

Kathmandu University medical journal (KUMJ)·2026

Same author

mRNA vaccines against monkeypox: bridging immunoinformatics, structural vaccinology, and translational advances toward pan-orthopox immunity.

Folia microbiologica·2026

Same author

Integrative omics approaches for bioactive metabolite discovery in marine macroalgae: Recent advances and future perspectives.

Journal of biotechnology·2026

Same author

Meta-Modeling with Drug Discovery Stack Regressor for Drug Discovery: An Explainable AI Perspective.

Current drug discovery technologies·2025

Same journal

A harmonized fast-fashion garment-variant dataset for textile circularity and sustainability assessment.

Data in brief·2026

Same journal

Terahertz reflectivity dataset: Reading text on both sides of the page.

Data in brief·2026

Same journal

High-quality draft genome sequence data of <i>Levilactobacillus brevis</i> 3LB isolated from fermented milk koumiss.

Data in brief·2026

Same journal

Interview dataset: Encouraging the development of industrial symbiosis networks in Slovenia - transition to the circular economy.

Data in brief·2026

Same journal

Timeseries of multispectral and radar data and vegetation indices from Sentinel-1, Sentinel-2 and Landsat-8 at field scale.

Data in brief·2026

Same journal

BACI-VI-Bench: A dataset of variational inequality benchmark instances for multi-agent trade-network equilibrium.

Data in brief·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Jun 21, 2025

Author Spotlight: Unraveling Plant Responses to Abiotic Stresses Using the PlantScreen Robotic Platform

Author Spotlight: Unraveling Plant Responses to Abiotic Stresses Using the PlantScreen Robotic Platform

Published on: June 7, 2024

Thermal image dataset for okra maturity analysis.

Sasithradevi A¹, Shoba S¹, Persiya J²

¹Centre for Advanced Data Science, Vellore Institute of Technology, Kelambakkam-vandalur road, Chennai, 600127, India.

|July 17, 2024

Summary

This summary is machine-generated.

Thermal imaging non-invasively classifies okra maturity, distinguishing over-matured from adequately matured samples. This aids in improving okra quality, market appeal, and culinary uses for better nutrition and sustainable agriculture.

Keywords:

Classification Maturity level Non-intrusive Okra Thermal analysis

More Related Videos

Identification of Novel Regulators of Plant Transpiration by Large-Scale Thermal Imaging Screening in Helianthus Annuus

Identification of Novel Regulators of Plant Transpiration by Large-Scale Thermal Imaging Screening in Helianthus Annuus

Published on: January 30, 2020

A Gusseted Thermogradient Table to Control Soil Temperatures for Evaluating Plant Growth and Monitoring Soil Processes

A Gusseted Thermogradient Table to Control Soil Temperatures for Evaluating Plant Growth and Monitoring Soil Processes

Published on: October 22, 2016

Related Experiment Videos

Last Updated: Jun 21, 2025

Author Spotlight: Unraveling Plant Responses to Abiotic Stresses Using the PlantScreen Robotic Platform

Author Spotlight: Unraveling Plant Responses to Abiotic Stresses Using the PlantScreen Robotic Platform

Published on: June 7, 2024

Identification of Novel Regulators of Plant Transpiration by Large-Scale Thermal Imaging Screening in Helianthus Annuus

Identification of Novel Regulators of Plant Transpiration by Large-Scale Thermal Imaging Screening in Helianthus Annuus

Published on: January 30, 2020

A Gusseted Thermogradient Table to Control Soil Temperatures for Evaluating Plant Growth and Monitoring Soil Processes

A Gusseted Thermogradient Table to Control Soil Temperatures for Evaluating Plant Growth and Monitoring Soil Processes

Published on: October 22, 2016

Area of Science:

Agricultural Science
Food Science
Computer Vision

Background:

Okra is a nutrient-rich vegetable with significant potential for addressing malnutrition and promoting sustainable agriculture.
Current methods for assessing okra maturity can be invasive and may not fully capture optimal quality for market and culinary use.
Standardized classification of okra maturity is crucial for enhancing its value chain.

Purpose of the Study:

To develop a non-invasive method for classifying okra into over-matured and adequately matured categories.
To enhance the quality, market attractiveness, and culinary adaptability of okra harvests.
To create a valuable dataset for non-invasive okra maturity examination.

Main Methods:

Utilized thermal imaging technology for non-invasive image capture of okra samples.
Collected okra samples from various vegetable vendors and farms to ensure diversity.
Categorized thermal images based on distinct maturity levels of okra.

Main Results:

Successfully captured thermal images representing different okra maturity stages.
Established a dataset enabling the differentiation between over-matured and adequately matured okra.
Demonstrated the feasibility of using thermal imaging for non-invasive okra classification.

Conclusions:

Thermal imaging offers a viable non-invasive approach for assessing okra maturity.
This classification method can significantly improve okra quality control and marketability.
The developed dataset supports further research in automated agricultural product assessment.