An Instance Segmentation Model for Strawberry Diseases Based on Mask R-CNN

Improved Vision-Based Detection of Strawberry Diseases Using a Deep Neural Network

(2021) Byoungjun Kim et al.   Frontiers in Plant Science

Plant diseases and pests detection based on deep learning: a review

(2021) Jun Liu et al.   Plant Methods

DAM: Hierarchical Adaptive Feature Selection Using Convolution Encoder Decoder Network for Strawberry Segmentation

(2021) Talha Ilyas et al.   Frontiers in Plant Science

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

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

CED-Net: Crops and Weeds Segmentation for Smart Farming Using a Small Cascaded Encoder-Decoder Architecture

(2020) Abbas Khan et al.   Electronics

Deep High-Resolution Representation Learning for Visual Recognition

(2020) Jingdong Wang et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

A Mobile-Based Deep Learning Model for Cassava Disease Diagnosis

(2019) Amanda Ramcharan et al.   Frontiers in Plant Science

Deep Learning-Based Segmentation and Quantification of Cucumber Powdery Mildew Using Convolutional Neural Network

(2019) Ke Lin et al.   Frontiers in Plant Science

Quantitative Phenotyping of Northern Leaf Blight in UAV Images Using Deep Learning

(2019) Ethan L. Stewart et al.   Remote Sensing

Object Detection With Deep Learning: A Review

(2019) Zhong-Qiu Zhao et al.   IEEE Transactions on Neural Networks and Learning Systems

Deep Learning-Based Phenotyping System With Glocal Description of Plant Anomalies and Symptoms

(2019) Alvaro Fuentes et al.   Frontiers in Plant Science

Automatic detection and classification of leaf spot disease in sugar beet using deep learning algorithms

(2019) Mehmet Metin Ozguven et al.   PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS

Identification of Tomato Disease Types and Detection of Infected Areas Based on Deep Convolutional Neural Networks and Object Detection Techniques

(2019) Qimei Wang et al.   Computational Intelligence and Neuroscience

Deep learning models for plant disease detection and diagnosis

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

Impact of dataset size and variety on the effectiveness of deep learning and transfer learning for plant disease classification

(2018) Jayme Garcia Arnal Barbedo   COMPUTERS AND ELECTRONICS IN AGRICULTURE

High-Performance Deep Neural Network-Based Tomato Plant Diseases and Pests Diagnosis System With Refinement Filter Bank

(2018) Alvaro F. Fuentes et al.   Frontiers in Plant Science

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

(2017) Vijay Badrinarayanan et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

(2017) Shaoqing Ren et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Automated Identification of Northern Leaf Blight-Infected Maize Plants from Field Imagery Using Deep Learning

(2017) Chad DeChant et al.   PHYTOPATHOLOGY

A Robust Deep-Learning-Based Detector for Real-Time Tomato Plant Diseases and Pests Recognition

(2017) Alvaro Fuentes et al.   SENSORS

Deep Learning for Image-Based Cassava Disease Detection

(2017) Amanda Ramcharan et al.   Frontiers in Plant Science

Identification of Apple Leaf Diseases Based on Deep Convolutional Neural Networks

(2017) Bin Liu et al.   Symmetry-Basel

Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition

(2015) Kaiming He et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Evaluation of epidemics and weather-based fungicide application programmes in controlling anthracnose fruit rot of day-neutral strawberry in outdoor field and protected cultivation systems

(2014) Rishi Ram Burlakoti et al.   CANADIAN JOURNAL OF PLANT PATHOLOGY

Characterization of Botrytis cinerea isolates from small fruits and grapevine in Serbia

(2009) Brankica Tanovic et al.   Archives of Biological Sciences

Object Detection with Discriminatively Trained Part-Based Models

(2009) P F Felzenszwalb et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

The Pascal Visual Object Classes (VOC) Challenge

(2009) Mark Everingham et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION