A robust deep attention dense convolutional neural network for plant leaf disease identification and classification from smart phone captured real world images

Robust and fast Plant Pathology Prognostics (P3) tool based on deep convolutional neural network

(2022) N. Sasikaladevi   MULTIMEDIA TOOLS AND APPLICATIONS

Deep transfer modeling for classification of Maize Plant Leaf Disease

(2022) Rajeev Kumar Singh et al.   MULTIMEDIA TOOLS AND APPLICATIONS

Plant Disease Identification Using a Novel Convolutional Neural Network

(2022) Sk Mahmudul Hassan et al.   IEEE Access

Plant Disease Recognition Model Based on Improved YOLOv5

(2022) Zhaoyi Chen et al.   Agronomy-Basel

Residential Appliance Identification Using 1-D Convolutional Neural Network Based on Multiscale Sinusoidal Initializers

(2022) Subho Paul et al.   IEEE Transactions on Industrial Informatics

Identification of disease using deep learning and evaluation of bacteriosis in peach leaf

(2021) Saumya Yadav et al.   Ecological Informatics

An intelligent system for crop identification and classification from UAV images using conjugated dense convolutional neural network

(2021) Akshay Pandey et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Automated disease classification in (Selected) agricultural crops using transfer learning

(2020) Krishnaswamy Rangarajan Aravind  et al.   Automatika

Deep learning for classification and severity estimation of coffee leaf biotic stress

(2020) José G.M. Esgario et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Crop leaf disease grade identification based on an improved convolutional neural network

(2020) Tao Fang et al.   JOURNAL OF ELECTRONIC IMAGING

Crop leaf disease recognition based on Self-Attention convolutional neural network

(2020) Weihui Zeng et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

SoyNet: Soybean leaf diseases classification

(2020) Aditya Karlekar et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

An optimized dense convolutional neural network model for disease recognition and classification in corn leaf

(2020) Abdul Waheed et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Plant leaf disease classification using EfficientNet deep learning model

(2020) Ümit Atila et al.   Ecological Informatics

VirLeafNet: Automatic analysis and viral disease diagnosis using deep-learning in Vigna mungo plant

(2020) Rakesh Chandra Joshi et al.   Ecological Informatics

Seasonal Crops Disease Prediction and Classification Using Deep Convolutional Encoder Network

(2019) Aditya Khamparia et al.   CIRCUITS SYSTEMS AND SIGNAL PROCESSING

Attention Residual Learning for Skin Lesion Classification

(2019) Jianpeng Zhang et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Deep convolutional neural networks for mobile capture device-based crop disease classification in the wild

(2018) Artzai Picon et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Deep learning models for plant disease detection and diagnosis

(2018) Konstantinos P. Ferentinos   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Deep Residual Networks With Dynamically Weighted Wavelet Coefficients for Fault Diagnosis of Planetary Gearboxes

(2018) Minghang Zhao et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Automated leaf disease detection in different crop species through image features analysis and One Class Classifiers

(2018) X.E. Pantazi et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

A review on the main challenges in automatic plant disease identification based on visible range images

(2016) Jayme Garcia Arnal Barbedo   BIOSYSTEMS ENGINEERING

Using Deep Learning for Image-Based Plant Disease Detection

(2016) Sharada P. Mohanty et al.   Frontiers in Plant Science

Yield Trends Are Insufficient to Double Global Crop Production by 2050

(2013) Deepak K. Ray et al.   PLoS One

Recent advances in sensing plant diseases for precision crop protection

(2012) Anne-Katrin Mahlein et al.   EUROPEAN JOURNAL OF PLANT PATHOLOGY

Development of spectral indices for detecting and identifying plant diseases

(2012) A.-K. Mahlein et al.   REMOTE SENSING OF ENVIRONMENT

Detection of citrus canker using hyperspectral reflectance imaging with spectral information divergence

(2009) Jianwei Qin et al.   JOURNAL OF FOOD ENGINEERING