ESDNN: A novel ensembled stack deep neural network for mango leaf disease classification and detection-Reference-Cited by-同舟云学术

ESDNN: A novel ensembled stack deep neural network for mango leaf disease classification and detection

Published:2023-06-26 Issue:4 Volume:83 Page:10989-11015
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Gautam Vinay,Ranjan Ranjeet Kumar,Dahiya Priyanka,Kumar Anil^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

https://link.springer.com/content/pdf/10.1007/s11042-023-16012-6.pdf

Reference56 articles.

1. Abdulridha J, Ehsani R, De Castro A (2016) Detection and differentiation between laurel wilt disease, phytophthora disease, and salinity damage using a hyperspectral sensing technique. Agriculture 6(4):56

2. Al Bashish D, Braik M, Bani-Ahmad S (2011) Detection and classification of leaf diseases using K-means-based segmentation and. Inf Technol J 10(2):267–275

3. Anand R, Veni S, Aravinth J (2016). An application of image processing techniques for detection of diseases on brinjal leaves using k-means clustering method. In 2016 international conference on recent trends in information technology (ICRTIT) (pp. 1–6). IEEE.

4. Arivazhagan S, Vineth Ligi S (2018) Mango leaf diseases identification using convolutional neural network. Int J Pure Appl Mathem 120(6):11067–11079

5. Arivazhagan S et al (2013) Detection of unhealthy region of plant leaves and classification of plant leaf diseases using texture features. Agric Eng Int CIGR J 15(1):211–217

Cited by 14 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Semantic segmentation for plant leaf disease classification and damage detection: A deep learning approach;Smart Agricultural Technology;2024-12

2. A novel deep CNN model with entropy coded sine cosine for corn disease classification;Journal of King Saud University - Computer and Information Sciences;2024-09

3. Classification of infection grade for anthracnose in mango leaves under complex background based on CBAM-DBIRNet;Expert Systems with Applications;2024-09

4. S2AM: a sustainable smart agriculture model for crop protection based on deep learning;Journal of Plant Diseases and Protection;2024-06-16

5. Novel artificial intelligence assisted Landsat-8 imagery analysis for mango orchard detection and area mapping;PLOS ONE;2024-06-14