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Rice Lodging Area Extraction Based on YCbCr Spatial and Texture Features

https://doi.org/10.1109/igarss.2019.8898862
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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/s10681-017-1939-8openalex-snapshot
Genome-wide association analysis for lodging tolerance and plant height in a diverse European hexaploid oat collection
inferredcites →https://doi.org/10.1016/b978-0-12-386454-3.00988-xopenalex-snapshot
Food and Agriculture Organization of the United Nations
inferredcites →https://doi.org/10.1016/j.agee.2006.05.015openalex-snapshot
Lodging in rice can be alleviated by atmospheric CO2 enrichment
inferredcites →https://doi.org/10.1016/j.agrformet.2018.01.021openalex-snapshot
Estimates of rice lodging using indices derived from UAV visible and thermal infrared images
inferredcites →https://doi.org/10.1016/j.biosystemseng.2012.08.009openalex-snapshot
Twenty five years of remote sensing in precision agriculture: Key advances and remaining knowledge gaps
inferredcites →https://doi.org/10.1016/j.pbi.2013.03.005openalex-snapshot
Plant phenomics and high-throughput phenotyping: accelerating rice functional genomics using multidisciplinary technologies
inferredcites →https://doi.org/10.1016/j.pbi.2014.02.009openalex-snapshot
Phenotyping and beyond: modelling the relationships between traits
inferredcites →https://doi.org/10.1016/s0168-1923(03)00139-4openalex-snapshot
A calibrated model of wheat lodging compared with field measurements
inferredcites →https://doi.org/10.1016/s0378-4290(96)01058-1openalex-snapshot
Lodging reduces yield of rice by self-shading and reductions in canopy photosynthesis
inferredcites →https://doi.org/10.1080/01431161.2017.1422875openalex-snapshot
Unsupervised discrimination between lodged and non-lodged winter wheat: a case study using a low-cost unmanned aerial vehicle
inferredcites →https://doi.org/10.1094/pdis-03-15-0340-feopenalex-snapshot
Plant Disease Detection by Imaging Sensors – Parallels and Specific Demands for Precision Agriculture and Plant Phenotyping
inferredcites →https://doi.org/10.1109/36.477187openalex-snapshot
An extension of the Jeffreys-Matusita distance to multiclass cases for feature selection
inferredcites →https://doi.org/10.1371/journal.pone.0077151openalex-snapshot
Weed Mapping in Early-Season Maize Fields Using Object-Based Analysis of Unmanned Aerial Vehicle (UAV) Images
inferredcites →https://doi.org/10.3390/rs70404026openalex-snapshot
Evaluating Multispectral Images and Vegetation Indices for Precision Farming Applications from UAV Images
inferredcites →https://doi.org/10.3390/rs9060583openalex-snapshot
Spatial and Spectral Hybrid Image Classification for Rice Lodging Assessment through UAV Imagery
inferredcites →https://doi.org/10.3390/rs9090923openalex-snapshot
Assessing Lodging Severity over an Experimental Maize (Zea mays L.) Field Using UAS Images

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inferred← citeshttps://doi.org/10.2139/ssrn.4514526openalex-extracted
inferred← citeshttps://doi.org/10.1007/978-981-97-6441-9_7openalex-snapshot
Multiscale Wheat Lodging Parameter Detection Based on MobilenetV3
inferred← citeshttps://doi.org/10.1016/j.compag.2023.108297openalex-snapshot
Enhancing model performance in detecting lodging areas in wheat fields using UAV RGB Imagery: Considering spatial and temporal variations
inferred← citeshttps://doi.org/10.1016/j.compag.2025.109972openalex-snapshot
Comprehensive wheat lodging detection under different UAV heights using machine/deep learning models
inferred← citeshttps://doi.org/10.1016/j.eswa.2021.116216openalex-snapshot
Obstacle avoidance for orchard vehicle trinocular vision system based on coupling of geometric constraint and virtual force field method
inferred← citeshttps://doi.org/10.1109/access.2021.3070683openalex-snapshot
A Lightweight Authentication Protocol for UAV Networks Based on Security and Computational Resource Optimization
inferred← citeshttps://doi.org/10.3389/fpls.2022.1009835openalex-snapshot
Wheat lodging extraction using Improved_Unet network
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