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Detection of diseases on visible part of plant — A review

https://doi.org/10.1109/tiar.2017.8273683
0 signed · 23 inferred · view as graph

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1016/j.biosystemseng.2008.09.030openalex-snapshot
An image-processing based algorithm to automatically identify plant disease visual symptoms
inferredcites →https://doi.org/10.1016/j.compag.2004.04.003openalex-snapshot
Automatic detection of ‘yellow rust’ in wheat using reflectance measurements and neural networks
inferredcites →https://doi.org/10.1016/j.compag.2010.02.007openalex-snapshot
A review of advanced techniques for detecting plant diseases
inferredcites →https://doi.org/10.1093/jxb/erh146openalex-snapshot
Combining thermal and visible imagery for estimating canopy temperature and identifying plant stress
inferredcites →https://doi.org/10.1109/34.868688openalex-snapshot
Normalized cuts and image segmentation
inferredcites →https://doi.org/10.1109/icsip.2010.5697452openalex-snapshot
A framework for detection and classification of plant leaf and stem diseases
inferredcites →https://doi.org/10.5815/ijmecs.2017.01.05openalex-snapshot
Automatic Robust Segmentation Scheme for Pathological Problems in Mango Crop
inferredcites →https://doi.org/10.9790/0661-16151016openalex-snapshot
An Overview of the Research on Plant Leaves Disease detection using Image Processing Techniques

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.3358760openalex-extracted
inferred← citeshttps://doi.org/10.1007/978-981-96-4170-3_11openalex-snapshot
Recent Patterns of Plant Leaf Disease Characterization with Artificial Intelligence Techniques
inferred← citeshttps://doi.org/10.1007/978-981-99-4764-5_13openalex-snapshot
Plant Disease Detection and Classification Using Machine Learning and Deep Learning Techniques: Current Trends and Challenges
inferred← citeshttps://doi.org/10.1016/j.eti.2024.103865openalex-snapshot
Modeling spatiotemporal distribution of yellow rust wheat pathogen using machine learning algorithms: Insights from environmental assessment
inferred← citeshttps://doi.org/10.1016/j.gltp.2021.08.034openalex-snapshot
Detect-o-thon: Identification of infected plants by using deep learning
inferred← citeshttps://doi.org/10.1063/5.0330125openalex-snapshot
Plant disease detection techniques using artificial intelligence and deep learning techniques: A generic review
inferred← citeshttps://doi.org/10.1109/access.2023.3275748openalex-snapshot
Learning and Adaptation From Minimum Samples With Heterogeneous Quality: An Investigation of Image Segmentation Networks on Natural Dataset
inferred← citeshttps://doi.org/10.1109/icccnt56998.2023.10307548openalex-snapshot
Wheat Disease Detection And Growth Stage Monitoring Using Deep Learning Architectures
inferred← citeshttps://doi.org/10.1109/iccsdet.2018.8821098openalex-snapshot
Wheat Leaf Detection and Prevention Using Support Vector Machine
inferred← citeshttps://doi.org/10.1109/iceca63461.2024.10800994openalex-snapshot
Modeling Plant Health Monitoring Solutions for Farmers and Gardeners
inferred← citeshttps://doi.org/10.1109/icesc48915.2020.9156026openalex-snapshot
IoT based Smart System for Enhanced Irrigation in Agriculture
inferred← citeshttps://doi.org/10.1109/iconsip49665.2022.10007463openalex-snapshot
Teat and Udder Disease Detection on Cattle using Machine Learning
inferred← citeshttps://doi.org/10.1109/iscon52037.2021.9702513openalex-snapshot
Retracted: A Survey on Diseases Detection for Agriculture Crops Using Artificial Intelligence
inferred← citeshttps://doi.org/10.3390/electronics11172641openalex-snapshot
A Survey on Different Plant Diseases Detection Using Machine Learning Techniques
inferred← citeshttps://doi.org/10.4018/ijssmet.2020040103openalex-snapshot
Deep Learning in Plant Diseases Detection for Agricultural Crops
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