Millimeter-Level Plant Disease Detection From Aerial Photographs via Deep Learning and Crowdsourced Data
出版年份 2019 全文链接
标题
Millimeter-Level Plant Disease Detection From Aerial Photographs via Deep Learning and Crowdsourced Data
作者
关键词
-
出版物
Frontiers in Plant Science
Volume 10, Issue -, Pages -
出版商
Frontiers Media SA
发表日期
2019-12-12
DOI
10.3389/fpls.2019.01550
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Applications of Computer Vision in Plant Pathology: A Survey
- (2019) Siddharth Singh Chouhan et al. ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING
- A low shot learning method for tea leaf’s disease identification
- (2019) Gensheng Hu et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Quantitative Phenotyping of Northern Leaf Blight in UAV Images Using Deep Learning
- (2019) Ethan L. Stewart et al. Remote Sensing
- Man against machine: diagnostic performance of a deep learning convolutional neural network for dermoscopic melanoma recognition in comparison to 58 dermatologists
- (2018) H A Haenssle et al. ANNALS OF ONCOLOGY
- 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
- An explainable deep machine vision framework for plant stress phenotyping
- (2018) Sambuddha Ghosal et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Crowdsourcing image analysis for plant phenomics to generate ground truth data for machine learning
- (2018) Naihui Zhou et al. PLoS Computational Biology
- Deep leaning approach with colorimetric spaces and vegetation indices for vine diseases detection in UAV images
- (2018) Mohamed Kerkech et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Perspectives for Remote Sensing with Unmanned Aerial Vehicles in Precision Agriculture
- (2018) Wouter H. Maes et al. TRENDS IN PLANT SCIENCE
- Identification of Soybean Foliar Diseases Using Unmanned Aerial Vehicle Images
- (2017) Everton Castelao Tetila et al. IEEE Geoscience and Remote Sensing Letters
- Deep convolutional neural network for classifying Fusarium wilt of radish from unmanned aerial vehicles
- (2017) Jin Gwan Ha et al. Journal of Applied Remote Sensing
- Automated Identification of Northern Leaf Blight-Infected Maize Plants from Field Imagery Using Deep Learning
- (2017) Chad DeChant et al. PHYTOPATHOLOGY
- Unmanned Aerial Vehicle Remote Sensing for Field-Based Crop Phenotyping: Current Status and Perspectives
- (2017) Guijun Yang et al. Frontiers in Plant Science
- Deep Plant Phenomics: A Deep Learning Platform for Complex Plant Phenotyping Tasks
- (2017) Jordan R. Ubbens et al. Frontiers in Plant Science
- Machine Learning for Plant Phenotyping Needs Image Processing
- (2016) Sotirios A. Tsaftaris et al. TRENDS IN PLANT SCIENCE
- Machine Learning for High-Throughput Stress Phenotyping in Plants
- (2016) Arti Singh et al. TRENDS IN PLANT SCIENCE
- Using Deep Learning for Image-Based Plant Disease Detection
- (2016) Sharada P. Mohanty et al. Frontiers in Plant Science
- ImageNet Large Scale Visual Recognition Challenge
- (2015) Olga Russakovsky et al. INTERNATIONAL JOURNAL OF COMPUTER VISION
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