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

Day-Long Persistent Luminescence in Intrinsically Integrated Donor-Acceptor Carbon Dots Enabled by Defect-Mediated Charge Trapping.

Angewandte Chemie (International ed. in English)·2026

Same author

Highly Dissymmetric and Multicolor Circularly Polarized Organic Hyperafterglow.

Angewandte Chemie (International ed. in English)·2026

Same author

Advanced Electrolyte Materials Design for High-Energy Lithium Metal Batteries Beyond 500 Wh Kg<sup>-1</sup>.

Advanced materials (Deerfield Beach, Fla.)·2026

Same author

Comparative Evaluation of Hemodiafiltration, Hemoperfusion, and Standard Hemodialysis on Efficacy, Inflammatory Control, Dialysis Adequacy, and Safety in End-Stage Renal Disease: A Prospective Observational Study.

Therapeutic apheresis and dialysis : official peer-reviewed journal of the International Society for Apheresis, the Japanese Society for Apheresis, the Japanese Society for Dialysis Therapy·2026

Same author

An SMC-domain protein regulates eupyrene spermiogenesis and sperm migration in a cosmopolitan insect, Plutella xylostella.

Journal of insect physiology·2026

Same author

Ductile alloys offering 100 MPa tensile strength at 2,400 °C.

Nature·2026

Search research articles

Related Experiment Video

Updated: Jun 26, 2025

Tomato Analyzer: A Useful Software Application to Collect Accurate and Detailed Morphological and Colorimetric Data from Two-dimensional Objects

Tomato Analyzer: A Useful Software Application to Collect Accurate and Detailed Morphological and Colorimetric Data from Two-dimensional Objects

Published on: March 16, 2010

High-Accuracy Tomato Leaf Disease Image-Text Retrieval Method Utilizing LAFANet.

Jiaxin Xu¹, Hongliang Zhou¹, Yufan Hu¹

¹College of Computer and Information Engineering, Central South University of Forestry and Technology, Changsha 410004, China.

Plants (Basel, Switzerland)

|May 11, 2024

Summary

This summary is machine-generated.

This study introduces LAFANet, a novel image-text retrieval method for tomato leaf disease diagnosis in smart agriculture. LAFANet enhances diagnostic accuracy by fusing visual and textual data, improving tomato yield and quality.

Keywords:

AR FNE-ANS LAFANet LFA TLDITRD cross-modal image-text retrieval

More Related Videos

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

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

Published on: January 21, 2013

A Simple Method for Imaging Arabidopsis Leaves Using Perfluorodecalin as an Infiltrative Imaging Medium

A Simple Method for Imaging Arabidopsis Leaves Using Perfluorodecalin as an Infiltrative Imaging Medium

Published on: January 16, 2012

Related Experiment Videos

Last Updated: Jun 26, 2025

Tomato Analyzer: A Useful Software Application to Collect Accurate and Detailed Morphological and Colorimetric Data from Two-dimensional Objects

Tomato Analyzer: A Useful Software Application to Collect Accurate and Detailed Morphological and Colorimetric Data from Two-dimensional Objects

Published on: March 16, 2010

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

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

Published on: January 21, 2013

A Simple Method for Imaging Arabidopsis Leaves Using Perfluorodecalin as an Infiltrative Imaging Medium

A Simple Method for Imaging Arabidopsis Leaves Using Perfluorodecalin as an Infiltrative Imaging Medium

Published on: January 16, 2012

Area of Science:

Smart Agriculture
Plant Pathology
Computer Vision
Natural Language Processing

Background:

Effective tomato leaf disease control is crucial for smart agriculture.
Current diagnostic methods lack comprehensive multimodal analysis.
Image-text retrieval offers potential for improved diagnostic evidence.

Purpose of the Study:

To develop an effective image-text retrieval method for tomato leaf diseases.
To introduce a multimodal dataset for tomato leaf disease retrieval.
To enhance diagnostic accuracy and support agricultural practitioners.

Main Methods:

Created the Tomato Leaf Disease Image-Text Retrieval Dataset (TLDITRD).
Utilized Vision Transformer (ViT) and BERT for feature extraction.
Proposed Learnable Fusion Attention (LFA) for feature fusion.
Implemented False Negative Elimination-Adversarial Negative Selection (FNE-ANS) and Adversarial Regularization (AR).

Main Results:

LAFANet demonstrated superior performance over existing models on the TLDITRD dataset.
Achieved top-1, top-5, and top-10 retrieval rates of 83.3%, 90.0%, and 80.3%, 93.7%, and 96.3% respectively.
Validated the effectiveness of LFA, FNE-ANS, and AR in improving retrieval accuracy.

Conclusions:

LAFANet provides a robust framework for tomato leaf disease retrieval using multimodal data.
The proposed method offers significant technical advancements for smart agriculture diagnostics.
LAFANet supports enhanced decision-making for ensuring tomato quality and yield.