AI-Driven Framework for Recognition of Guava Plant Diseases through Machine Learning from DSLR Camera Sensor Based High Resolution Imagery
出版年份 2021 全文链接
标题
AI-Driven Framework for Recognition of Guava Plant Diseases through Machine Learning from DSLR Camera Sensor Based High Resolution Imagery
作者
关键词
-
出版物
SENSORS
Volume 21, Issue 11, Pages 3830
出版商
MDPI AG
发表日期
2021-06-02
DOI
10.3390/s21113830
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- Detecting cassava mosaic disease using a deep residual convolutional neural network with distinct block processing
- (2021) David Opeoluwa Oyewola et al. PeerJ Computer Science
- Recognizing apple leaf diseases using a novel parallel real‐time processing framework based on MASK RCNN and transfer learning: An application for smart agriculture
- (2021) Zia ur Rehman et al. IET Image Processing
- A joint framework of feature reduction and robust feature selection for cucumber leaf diseases recognition
- (2021) Jaweria Kianat et al. OPTIK
- A Recognition Method for Rice Plant Diseases and Pests Video Detection Based on Deep Convolutional Neural Network
- (2020) Dengshan Li et al. SENSORS
- A Review of Convolutional Neural Network Applied to Fruit Image Processing
- (2020) José Naranjo-Torres et al. Applied Sciences-Basel
- Trends in the extraction, purification, characterisation and biological activities of polysaccharides from tropical and sub-tropical fruits – A comprehensive review
- (2020) Kannan Mohan et al. CARBOHYDRATE POLYMERS
- A Novel Technique for Segmentation of High Resolution Remote Sensing Images Based on Neural Networks
- (2020) Mohammad Barr NEURAL PROCESSING LETTERS
- Understanding important features of deep learning models for segmentation of high-resolution transmission electron microscopy images
- (2020) James P. Horwath et al. npj Computational Materials
- Humboldtian Diagnosis of Peach Tree (Prunus persica) Nutrition Using Machine-Learning and Compositional Methods
- (2020) Debora Leitzke Betemps et al. Agronomy-Basel
- Evaluation of Applicability of Various Color Space Techniques of UAV Images for Evaluating Cool Roof Performance
- (2020) Kirim Lee et al. Energies
- Defect Classification of Green Plums Based on Deep Learning
- (2020) Haiyan Zhou et al. SENSORS
- Visual Tea Leaf Disease Recognition Using a Convolutional Neural Network Model
- (2019) Jing Chen et al. Symmetry-Basel
- Seasonal Crops Disease Prediction and Classification Using Deep Convolutional Encoder Network
- (2019) Aditya Khamparia et al. CIRCUITS SYSTEMS AND SIGNAL PROCESSING
- Deep learning – Method overview and review of use for fruit detection and yield estimation
- (2019) Anand Koirala et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- An automated detection and classification of citrus plant diseases using image processing techniques: A review
- (2018) Zahid Iqbal et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Computer vision and artificial intelligence in precision agriculture for grain crops: A systematic review
- (2018) Diego Inácio Patrício et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- 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
- X-FIDO: An Effective Application for Detecting Olive Quick Decline Syndrome with Deep Learning and Data Fusion
- (2017) Albert C. Cruz et al. Frontiers in Plant Science
- A survey of image processing techniques for plant extraction and segmentation in the field
- (2016) Esmael Hamuda et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Kernel-based PSO and FRVM: An automatic plant leaf type detection using texture, shape, and color features
- (2016) Balasubramanian VijayaLakshmi et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Disease detection of Cercospora Leaf Spot in sugar beet by robust template matching
- (2014) Rong Zhou et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Effective fuzzy clustering algorithm with Bayesian model and mean template for image segmentation
- (2014) Hui Zhang et al. IET Image Processing
- Comparison of two aerial imaging platforms for identification of Huanglongbing-infected citrus trees
- (2013) Francisco Garcia-Ruiz et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Digital image processing techniques for detecting, quantifying and classifying plant diseases
- (2013) Jayme Garcia Arnal Barbedo SpringerPlus
- Intelligent multi-sensor system for the detection and treatment of fungal diseases in arable crops
- (2011) D. Moshou et al. BIOSYSTEMS ENGINEERING
- Detection of citrus canker using hyperspectral reflectance imaging with spectral information divergence
- (2009) Jianwei Qin et al. JOURNAL OF FOOD ENGINEERING
- Sustainable agriculture and plant diseases: an epidemiological perspective
- (2007) C. A Gilligan PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES
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