Using Deep Learning for Image-Based Plant Disease Detection

11 April 2016

Papers citing "Using Deep Learning for Image-Based Plant Disease Detection"

50 / 62 papers shown

Title
Vision Transformers in Precision Agriculture: A Comprehensive Survey Saber Mehdipour Seyed Abolghasem Mirroshandel Seyed Amirhossein Tabatabaei 36 0 0 30 Apr 2025
Plant Disease Detection through Multimodal Large Language Models and Convolutional Neural Networks Konstantinos I Roumeliotis Ranjan Sapkota Manoj Karkee Nikolaos D. Tselikas Dimitrios K. Nasiopoulos 44 0 0 29 Apr 2025
How Well Do Self-Supervised Methods Perform in Cross-Domain Few-Shot Learning? Yiyi Zhang Ying Zheng Xiaogang Xu Jun Wang SSL 56 4 0 28 Jan 2025
Enhancing Few-Shot Image Classification through Learnable Multi-Scale Embedding and Attention Mechanisms Fatemeh Askari Amirreza Fateh Mohammad Reza Mohammadi 85 3 0 17 Jan 2025
Evaluating the Potential of Federated Learning for Maize Leaf Disease Prediction Thalita Mendonça Antico Larissa F. Rodrigues Moreira Rodrigo Moreira 103 24 0 10 Dec 2024
Adversarial Robustification via Text-to-Image Diffusion Models Daewon Choi Jongheon Jeong Huiwon Jang Jinwoo Shin DiffM 44 1 0 26 Jul 2024
A Weeding Robot for Seedling Removal Jarkko Kotaniemi Niko Känsäkoski Tapio Heikkilä 16 0 0 21 May 2024
Evaluating Data Augmentation Techniques for Coffee Leaf Disease Classification Adrian Gheorghiu Iulian-Marius Taiatu Dumitru-Clementin Cercel Iuliana Marin Florin-Catalin Pop 51 2 0 11 Jan 2024
Potato Leaf Disease Classification using Deep Learning: A Convolutional Neural Network Approach Utkarsh Yashwant Tambe Dr. A. Shobanadevi Dr. A. Shanthini Hsiu-Chun Hsu 11 4 0 04 Nov 2023
Adaptive Parametric Prototype Learning for Cross-Domain Few-Shot Classification Marzi Heidari Abdullah Alchihabi Qing En Yuhong Guo VLM 34 0 0 04 Sep 2023
Large Language Models and Foundation Models in Smart Agriculture: Basics, Opportunities, and Challenges Jiajia Li Mingle Xu Lirong Xiang Dong Chen Weichao Zhuang Xunyuan Yin Zhao Li 36 3 0 13 Aug 2023
PhenoBench -- A Large Dataset and Benchmarks for Semantic Image Interpretation in the Agricultural Domain J. Weyler Federico Magistri E. Marks Yue Linn Chong Matteo Sodano Gianmarco Roggiolani Nived Chebrolu C. Stachniss Jens Behley 32 30 0 07 Jun 2023
Crop identification using deep learning on LUCAS crop cover photos M. Yordanov R. d’Andrimont Laura Martinez-Sanchez G. Lemoine D. Fasbender M. Velde 20 7 0 08 May 2023
An Efficient Transfer Learning-based Approach for Apple Leaf Disease Classification Md. Hamjajul Ashmafee Tasnim Ahmed Sabbir Ahmed Md. Bakhtiar Hasan Mst. Nura Jahan A. A. Ashikur Rahman 18 7 0 10 Apr 2023
Deep Learning for Cross-Domain Few-Shot Visual Recognition: A Survey Huali Xu Shuaifeng Zhi Shuzhou Sun Vishal M. Patel Li Liu 32 13 0 15 Mar 2023
Lessons Learned Report: Super-Resolution for Detection Tasks in Engineering Problem-Solving Martin Feder M. Horovitz Assaf Chen R. Linker O. M. Shir SupR 21 0 0 01 Mar 2023
Amortised Invariance Learning for Contrastive Self-Supervision Ruchika Chavhan Henry Gouk Jan Stuehmer Calum Heggan Mehrdad Yaghoobi Timothy M. Hospedales SSL 40 11 0 24 Feb 2023
The Geometry of Self-supervised Learning Models and its Impact on Transfer Learning Romain Cosentino Sarath Shekkizhar Mahdi Soltanolkotabi A. Avestimehr Antonio Ortega SSL 51 7 0 18 Sep 2022
MangoLeafBD: A Comprehensive Image Dataset to Classify Diseased and Healthy Mango Leaves Sarder Iftekhar Ahmed Muhammad Ibrahim Menatalla K Nadim Md. Mizanur Rahman Maria Mehjabin Shejunti T. Jabid M. Ali 8 56 0 27 Aug 2022
Cross-Domain Few-Shot Classification via Inter-Source Stylization Huali Xu Shuaifeng Zhi Li Liu 35 4 0 17 Aug 2022
RenyiCL: Contrastive Representation Learning with Skew Renyi Divergence Kyungmin Lee Jinwoo Shin SSL DRL 29 10 0 12 Aug 2022
Self-supervised Learning with Local Contrastive Loss for Detection and Semantic Segmentation Ashraful Islam Bengt Lundell H. Sawhney Sudipta N. Sinha Peter Morales Richard J. Radke SSL 31 9 0 10 Jul 2022
The Power of Transfer Learning in Agricultural Applications: AgriNet Zahraa Al Sahili M. Awad 15 18 0 08 Jul 2022
Self-Supervised Pretraining for Differentially Private Learning Arash Asadian Evan Weidner Lei Jiang PICV 27 3 0 14 Jun 2022
LIA: Privacy-Preserving Data Quality Evaluation in Federated Learning Using a Lazy Influence Approximation Ljubomir Rokvic Panayiotis Danassis Sai Praneeth Karimireddy Boi Faltings TDI 27 1 0 23 May 2022
A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities Yisheng Song Ting-Yuan Wang S. Mondal J. P. Sahoo SLR 50 344 0 13 May 2022
How to Fine-tune Models with Few Samples: Update, Data Augmentation, and Test-time Augmentation Yujin Kim Jaehoon Oh Sungnyun Kim Se-Young Yun 29 6 0 13 May 2022
An Effective Scheme for Maize Disease Recognition based on Deep Networks Saeedeh Osouli B. Haghighi Ehsan Sadrossadat 20 3 0 09 May 2022
Self-Supervised Class-Cognizant Few-Shot Classification Ojas Kishore Shirekar Hadi Jamali Rad SSL 40 4 0 15 Feb 2022
Max-Margin Contrastive Learning Anshul B. Shah S. Sra Ramalingam Chellappa A. Cherian SSL 31 44 0 21 Dec 2021
Unsupervised deep learning techniques for powdery mildew recognition based on multispectral imaging A. Benfenati P. Causin Haoran Zhang Yuntian Chen 17 3 0 20 Dec 2021
Hierarchical Variational Memory for Few-shot Learning Across Domains Yingjun Du Xiantong Zhen Ling Shao Cees G. M. Snoek VLM BDL 38 21 0 15 Dec 2021
Revisiting the Transferability of Supervised Pretraining: an MLP Perspective Yizhou Wang Shixiang Tang Feng Zhu Lei Bai Rui Zhao Donglian Qi Wanli Ouyang 26 51 0 01 Dec 2021
Task2Sim : Towards Effective Pre-training and Transfer from Synthetic Data Samarth Mishra Rameswar Panda Cheng Perng Phoo Chun-Fu Chen Leonid Karlinsky Kate Saenko Venkatesh Saligrama Rogerio Feris 26 33 0 30 Nov 2021
Distribution Estimation to Automate Transformation Policies for Self-Supervision Seunghan Yang Debasmit Das Simyung Chang Sungrack Yun Fatih Porikli 9 6 0 24 Nov 2021
Florence: A New Foundation Model for Computer Vision Lu Yuan Dongdong Chen Yi-Ling Chen Noel Codella Xiyang Dai ... Zhen Xiao Jianwei Yang Michael Zeng Luowei Zhou Pengchuan Zhang VLM 29 879 0 22 Nov 2021
Improving Transferability of Representations via Augmentation-Aware Self-Supervision Hankook Lee Kibok Lee Kimin Lee Honglak Lee Jinwoo Shin SSL 21 51 0 18 Nov 2021
The Unreasonable Effectiveness of the Final Batch Normalization Layer Veysel Kocaman O. M. Shir T. Baeck 18 1 0 18 Sep 2021
Plant Disease Detection Using Image Processing and Machine Learning Pranesh Shridhar Kulkarni Atharva Karwande Tejas Kolhe S. Kamble A. Joshi M. Wyawahare 11 65 0 20 Jun 2021
Dynamic Distillation Network for Cross-Domain Few-Shot Recognition with Unlabeled Data Ashraful Islam Chun-Fu Chen Rameswar Panda Leonid Karlinsky Rogerio Feris Richard J. Radke 30 84 0 14 Jun 2021
Potato Crop Stress Identification in Aerial Images using Deep Learning-based Object Detection S. Butte Aleksandar Vakanski K. Duellman Haotian Wang Amin Mirkouei 29 48 0 14 Jun 2021
Modular Adaptation for Cross-Domain Few-Shot Learning Xiaoyu Lin Meng Ye Yunye Gong G. Buracas Nikoletta Basiou Ajay Divakaran Yi Yao 20 4 0 01 Apr 2021
Classification of Seeds using Domain Randomization on Self-Supervised Learning Frameworks Venkat Margapuri Michael L. Neilsen 8 7 0 29 Mar 2021
A Broad Study on the Transferability of Visual Representations with Contrastive Learning Ashraful Islam Chun-Fu Chen Rameswar Panda Leonid Karlinsky Richard J. Radke Rogerio Feris SSL 29 112 0 24 Mar 2021
WheatNet: A Lightweight Convolutional Neural Network for High-throughput Image-based Wheat Head Detection and Counting S. Khaki N. Safaei Hieu H. Pham Lizhi Wang 15 92 0 17 Mar 2021
A Robust Illumination-Invariant Camera System for Agricultural Applications Abhisesh Silwal Tanvir Parhar Francisco Yandún George Kantor 22 32 0 06 Jan 2021
One-Shot Learning with Triplet Loss for Vegetation Classification Tasks A. Uzhinskiy G. Ososkov P. Goncharov A. Nechaevskiy A. Smetanin VLM 11 13 0 14 Dec 2020
How Well Do Self-Supervised Models Transfer? Linus Ericsson Henry Gouk Timothy M. Hospedales SSL 35 274 0 26 Nov 2020
A Multi-Plant Disease Diagnosis Method using Convolutional Neural Network Muhammad Mohsin Kabir Abu Quwsar Ohi M. Mridha 9 45 0 10 Nov 2020
High-Throughput Image-Based Plant Stand Count Estimation Using Convolutional Neural Networks S. Khaki Hieu H. Pham Ye Han W. Kent Lizhi Wang 34 17 0 23 Oct 2020