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Classifying Early Apple Scab Infections in Multispectral Imagery with Convolutional Neural Networks

https://doi.org/10.2139/ssrn.4693776
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inferredcites →https://doi.org/10.1002/aps3.11390openalex-extracted
The Plant Pathology Challenge 2020 data set to classify foliar disease of apples
inferredcites →https://doi.org/10.1007/s11104-022-05407-3openalex-extracted
AFD-Net: Apple Foliar Disease multi classification using deep learning on plant pathology dataset
inferredcites →https://doi.org/10.1007/s11119-010-9212-3openalex-extracted
Thermographic assessment of scab disease on apple leaves
inferredcites →https://doi.org/10.1007/s12652-019-01591-wopenalex-extracted
Multi-model LSTM-based convolutional neural networks for detection of apple diseases and pests
inferredcites →https://doi.org/10.1007/s13244-018-0639-9openalex-extracted
Convolutional neural networks: an overview and application in radiology
inferredcites →https://doi.org/10.1007/s13593-011-0003-7openalex-extracted
Pesticide use in current and innovative apple orchard systems
inferredcites →https://doi.org/10.1007/s13593-012-0124-7openalex-extracted
Life cycle analysis reveals higher agroecological benefits of organic and low-input apple production
inferredcites →https://doi.org/10.1016/j.compag.2012.09.014openalex-extracted
Thermography versus chlorophyll fluorescence imaging for detection and quantification of apple scab
inferredcites →https://doi.org/10.1016/j.compag.2018.01.009openalex-extracted
Deep learning models for plant disease detection and diagnosis
inferredcites →https://doi.org/10.1016/j.compag.2018.02.016openalex-extracted
Deep learning in agriculture: A survey
inferredcites →https://doi.org/10.1016/j.compag.2019.105146openalex-extracted
Research on deep learning in apple leaf disease recognition
inferredcites →https://doi.org/10.1016/j.jas.2008.06.012openalex-extracted
Imaging the invisible using modified digital still cameras for straightforward and low-cost archaeological near-infrared photography
inferredcites →https://doi.org/10.1080/01431161.2022.2122895openalex-extracted
Feasibility of detecting apple scab infections using low-cost sensors and interpreting radiation interactions with scab lesions
inferredcites →https://doi.org/10.1094/pdis-03-15-0340-feopenalex-extracted
Plant Disease Detection by Imaging Sensors – Parallels and Specific Demands for Precision Agriculture and Plant Phenotyping
inferredcites →https://doi.org/10.1109/access.2019.2914929openalex-extracted
Real-Time Detection of Apple Leaf Diseases Using Deep Learning Approach Based on Improved Convolutional Neural Networks
inferredcites →https://doi.org/10.1109/cvpr.2016.308openalex-extracted
Rethinking the Inception Architecture for Computer Vision
inferredcites →https://doi.org/10.1109/jproc.2020.3004555openalex-extracted
A Comprehensive Survey on Transfer Learning
inferredcites →https://doi.org/10.1111/j.1364-3703.2010.00656.xopenalex-extracted
Venturia inaequalis : the causal agent of apple scab
inferredcites →https://doi.org/10.1111/j.1365-3059.2007.01781.xopenalex-extracted
Virulence characteristics of apple scab ( Venturia inaequalis ) isolates from monoculture and mixed orchards
inferredcites →https://doi.org/10.1186/s42483-020-00049-8openalex-extracted
From visual estimates to fully automated sensor-based measurements of plant disease severity: status and challenges for improving accuracy
inferredcites →https://doi.org/10.15159/ar.21.045openalex-extracted
Apple scab detection using CNN and Transfer Learning
inferredcites →https://doi.org/10.3389/fpls.2016.01419openalex-extracted
Using Deep Learning for Image-Based Plant Disease Detection
inferredcites →https://doi.org/10.3389/fpls.2019.00941openalex-extracted
Convolutional Neural Networks for the Automatic Identification of Plant Diseases
inferredcites →https://doi.org/10.3390/agronomy10020217openalex-extracted
Efficient Control of Apple Scab with Targeted Spray Applications
inferredcites →https://doi.org/10.3390/app11104614openalex-extracted
Construction of Apple Leaf Diseases Identification Networks Based on Xception Fused by SE Module
inferredcites →https://doi.org/10.3390/s8117300openalex-extracted
Can Commercial Digital Cameras Be Used as Multispectral Sensors? A Crop Monitoring Test
inferredcites →https://doi.org/10.3390/sym12071065openalex-extracted
Identification of Apple Tree Leaf Diseases Based on Deep Learning Models
inferredcites →https://doi.org/10.48550/arxiv.2104.00298openalex-extracted
EfficientNetV2: Smaller Models and Faster Training
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