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

You might also read

Related Articles

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

Sort by

Same author

Development of CaSO4: Dy-based ring badge for extremity dose monitoring of radiation workers in India.

Radiation protection dosimetry·2026

Same author

A Randomized Controlled Trial to Compare Vaginal Dinoprostone Pessary with Intracervical Dinoprostone Gel for Pre-induction Cervical Ripening.

Journal of obstetrics and gynaecology of India·2026

Same author

An intelligent gradient-guided hybrid inpainting framework for brain MRI reconstruction and Alzheimer's disease classification in connected healthcare systems.

Frontiers in medicine·2026

Same author

Imine-directed Ru(II)-catalyzed <i>ortho</i>-C(sp<sup>2</sup>)-<i>H</i> amidation of 3-arylquinoxalin-2(1<i>H</i>)-ones <i>via</i> nitrene transfer from acyl/heteroacyl azides.

Organic & biomolecular chemistry·2026

Same author

Retraction Note: AI-optimized GRU-based self-attention model for predictive diabetes staging in IoT healthcare 5.0.

Scientific reports·2026

Same author

Correction: Comparative evaluation of deep learning models for lung segmentation in chest X-rays: applications in infectious disease screening.

BMC infectious diseases·2026

Same journal

MT-MRI for detection of renal interstitial fibrosis in renovascular disease.

Scientific reports·2026

Same journal

Detection of underground objects from GPR data using a lightweight YOLO-based approach.

Scientific reports·2026

Same journal

Early systemic inflammatory-metabolic trajectory phenotypes are associated with survival outcomes in metastatic renal cell carcinoma treated with nivolumab.

Scientific reports·2026

Same journal

Water balance components in a dry-seeded rice-wheat system: Untangling the effects of tillage and mulching practices.

Scientific reports·2026

Same journal

Topological approaches to quantum tensor train compression via ZX-calculus and SVD.

Scientific reports·2026

Same journal

determinants of flood impacts and adaptive capacity among market vendors in Walukuba-Masese, Jinja city, Uganda.

Scientific reports·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Sep 10, 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

Bayesian optimized CNN ensemble for efficient potato blight detection using fuzzy image enhancement.

Achin Jain¹, Arun Kumar Dubey¹, Vincent Shin-Hung Pan^2,3

¹Department of Information Technology, Bharati Vidyapeeth's College of Engineering, New Delhi, India.

Scientific Reports

|August 25, 2025

Summary

This summary is machine-generated.

This study introduces a Bayesian Optimized CNN Weighted Ensemble for potato blight detection, achieving 97.94% accuracy. This robust deep learning approach enhances agricultural disease classification and reduces crop losses.

Keywords:

Bayesian optimization CNN Ensemble learning Optimizer Potato blight detection

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

Deep Neural Networks for Image-Based Dietary Assessment

Deep Neural Networks for Image-Based Dietary Assessment

Published on: March 13, 2021

Related Experiment Videos

Last Updated: Sep 10, 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

Deep Neural Networks for Image-Based Dietary Assessment

Deep Neural Networks for Image-Based Dietary Assessment

Published on: March 13, 2021

Area of Science:

Agricultural Science
Computer Science
Machine Learning

Background:

Potato blight causes significant agricultural and economic losses.
Accurate and early detection of potato blight is crucial for crop management.

Purpose of the Study:

To develop a highly accurate deep learning model for potato leaf blight detection.
To optimize Convolutional Neural Network (CNN) models using Bayesian optimization and ensemble learning.

Main Methods:

Trained multiple CNN architectures (ADAM, SGD, RMSProp, ADAMAX) and evaluated individual performance.
Applied data augmentation and fuzzy image enhancement to improve feature extraction and mitigate class imbalance.
Utilized Bayesian optimization to determine optimal weights for a deep ensemble model, exploring 11 combinations.

Main Results:

The final ensemble model (EDL7: DL1 + DL2 + DL3) achieved a top accuracy of 97.94%.
The ensemble model demonstrated superior performance over individual CNN models.
Achieved high precision (0.981), recall (0.983), and F1 score (0.982).

Conclusions:

Bayesian-optimized ensemble learning significantly improves potato blight detection accuracy.
The proposed method offers a robust and reliable solution for agricultural disease classification.
This approach has the potential to minimize crop losses due to potato blight.