On the public citation graph
A Novel Deep Learning-Based Method for Potato Leaf Disease Classification
0 signed · 32 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/agj2.20841openalex-extracted
Potato crop stress identification in aerial images using deep learning‐based object detection
inferredcites →https://doi.org/10.1007/978-1-4939-1188-2_6openalex-extracted
Pre and Post Harvest Diseases of Potato and Their Management
inferredcites →https://doi.org/10.1007/978-3-030-49795-8_49openalex-extracted
Deep Residual Learning Approach forPlant Disease Recognition
inferredcites →https://doi.org/10.1007/978-3-030-59338-4_4openalex-extracted
Artificial Intelligence in Potato Leaf Disease Classification: A Deep Learning Approach
inferredcites →https://doi.org/10.1007/s11042-023-14663-zopenalex-extracted
Classification and identification of disease in potato leaf using hierarchical based deep learning convolutional neural network
inferredcites →https://doi.org/10.1007/s12230-018-09705-4openalex-extracted
Potatoes, Nutrition and Health
inferredcites →https://doi.org/10.1007/s42044-020-00057-zopenalex-extracted
Mango leaf disease recognition using neural network and support vector machine
inferredcites →https://doi.org/10.1007/s42979-021-00691-9openalex-extracted
High Efficiency Disease Detection for Potato Leaf with Convolutional Neural Network
inferredcites →https://doi.org/10.1016/j.cell.2020.01.021openalex-extracted
A Deep Learning Approach to Antibiotic Discovery
inferredcites →https://doi.org/10.1016/j.sjbs.2020.09.056openalex-extracted
Quantification of biochemical compounds in Bauhinia Variegata Linn flower extract and its hepatoprotective effect
inferredcites →https://doi.org/10.1023/b:vlsi.0000028532.53893.82openalex-extracted
Realization of the Contrast Limited Adaptive Histogram Equalization (CLAHE) for Real-Time Image Enhancement
inferredcites →https://doi.org/10.1080/10807039.2022.2064814openalex-extracted
A novel framework for potato leaf disease detection using an efficient deep learning model
inferredcites →https://doi.org/10.1109/casp.2016.7746160openalex-extracted
SVM classifier based grape leaf disease detection
inferredcites →https://doi.org/10.1109/ccece.2017.7946594openalex-extracted
Detection of potato diseases using image segmentation and multiclass support vector machine
inferredcites →https://doi.org/10.1109/ecace.2019.8679247openalex-extracted
A Color and Texture Based Approach for the Detection and Classification of Plant Leaf Disease Using KNN Classifier
inferredcites →https://doi.org/10.1109/elecsym.2016.7860982openalex-extracted
From concrete to abstract: Multilayer neural networks for disaster victims detection
inferredcites →https://doi.org/10.1109/ic3.2018.8530532openalex-extracted
Tomato Leaf Disease Detection Using Convolutional Neural Networks
inferredcites →https://doi.org/10.1109/iccitechn.2017.8281764openalex-extracted
Content based paddy leaf disease recognition and remedy prediction using support vector machine
inferredcites →https://doi.org/10.1109/icedss.2016.7587787openalex-extracted
Identification of leaf diseases in pepper plants using soft computing techniques
inferredcites →https://doi.org/10.1109/iciccs48265.2020.9121067openalex-extracted
Potato Leaf Diseases Detection Using Deep Learning
inferredcites →https://doi.org/10.1109/icisc.2018.8398993openalex-extracted
Disease classification in maize crop using bag of features and multiclass support vector machine
inferredcites →https://doi.org/10.1109/ies50839.2020.9231784openalex-extracted
Potato Leaf Disease Classification Using Deep Learning Approach
inferredcites →https://doi.org/10.1109/mva.2015.7153185openalex-extracted
A deep-learning approach to facial expression recognition with candid images
inferredcites →https://doi.org/10.1109/spin.2015.7095350openalex-extracted
Leaf disease detection and grading using computer vision technology & fuzzy logic
inferredcites →https://doi.org/10.1109/tsp.2017.8076090openalex-extracted
Image processing based automated identification of late blight disease from leaf images of potato crops
inferredcites →https://doi.org/10.1155/2016/3289801openalex-extracted
Deep Neural Networks Based Recognition of Plant Diseases by Leaf Image Classification
inferredcites →https://doi.org/10.3390/app13031487openalex-extracted
A Lightweight Neural Network-Based Method for Identifying Early-Blight and Late-Blight Leaves of Potato
inferredcites →https://doi.org/10.3390/electronics11010026openalex-extracted
A Novel Hybrid Approach Based on Deep CNN to Detect Glaucoma Using Fundus Imaging
inferredcites →https://doi.org/10.3390/s21186189openalex-extracted
A Novel Hybrid Approach Based on Deep CNN Features to Detect Knee Osteoarthritis
inferredcites →https://doi.org/10.34257/gjcstdvol19is2pg13openalex-extracted
Classification of Image using Convolutional Neural Network (CNN)
inferredcites →https://doi.org/10.4108/eai.3-12-2015.2262516openalex-extracted
A Deep Learning Approach for Network Intrusion Detection System
inferredcites →https://doi.org/10.9734/jamcs/2022/v37i121735openalex-extracted
A Deep Learning Approach to Classify the Potato Leaf Disease
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.