Crop/Weed Discrimination Using a Field Imaging Spectrometer System

Support Vector Machine Accuracy Assessment for Extracting Green Urban Areas in Towns

(2019) Nikola Kranjčić et al.   Remote Sensing

Continuous Wavelet Analysis of Leaf Reflectance Improves Classification Accuracy of Mangrove Species

(2019) Yi Xu et al.   Remote Sensing

A review on weed detection using ground-based machine vision and image processing techniques

(2019) Aichen Wang et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Automated spectral feature extraction from hyperspectral images to differentiate weedy rice and barnyard grass from a rice crop

(2019) Yanchao Zhang et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Plant discrimination by Support Vector Machine classifier based on spectral reflectance

(2018) Saman Akbarzadeh et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Study on bruising degree classification of apples using hyperspectral imaging and GS-SVM

(2018) Wenyi Tan et al.   OPTIK

Effect of chemical weed control on crop yields in different crop rotations in a long-term field trial

(2018) Markéta Mayerová et al.   CROP PROTECTION

Multistep-ahead forecasting of chlorophyll a using a wavelet nonlinear autoregressive network

(2018) Zhenhong Du et al.   KNOWLEDGE-BASED SYSTEMS

Classification of Hyperspectral Imagery based on spectral gradient, SVM and spatial random forest

(2018) Zhao Chunhui et al.   INFRARED PHYSICS & TECHNOLOGY

Wavelet-derived features as indicators of physiological changes induced by bed rest

(2017) Robert Stallard et al.   EXPERT SYSTEMS WITH APPLICATIONS

Random forest and leaf multispectral reflectance data to differentiate three soybean varieties from two pigweeds

(2016) Reginald S. Fletcher et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Combining spatial and spectral information to estimate chlorophyll contents of crop leaves with a field imaging spectroscopy system

(2016) Bo Liu et al.   PRECISION AGRICULTURE

A real-time plant discrimination system utilising discrete reflectance spectroscopy

(2015) P. Symonds et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Red-edge vegetation indices for detecting and assessing disturbances in Norway spruce dominated mountain forests

(2015) Joanna Adamczyk et al.   International Journal of Applied Earth Observation and Geoinformation

Plant Leaf Chlorophyll Content Retrieval Based on a Field Imaging Spectroscopy System

(2014) Bo Liu et al.   SENSORS

Multispectral-based leaf detection system for spot sprayer application to control citrus psyllids

(2013) Peter A. Larbi et al.   BIOSYSTEMS ENGINEERING

Comparison between wavelet spectral features and conventional spectral features in detecting yellow rust for winter wheat

(2013) Jingcheng Zhang et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Quantification of leaf pigments in soybean (Glycine max (L.) Merr.) based on wavelet decomposition of hyperspectral features

(2013) Shardendu K. Singh et al.   FIELD CROPS RESEARCH

Discrimination of grassland species and their classification in botanical families by laboratory scale NIR hyperspectral imaging: Preliminary results

(2013) Laura M. Dale et al.   TALANTA

Automated weed control in organic row crops using hyperspectral species identification and thermal micro-dosing

(2012) Yun Zhang et al.   CROP PROTECTION

Robust hyperspectral vision-based classification for multi-season weed mapping

(2012) Yun Zhang et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

RETRACTED: Advanced techniques for Weed and crop identification for site specific Weed management

(2011) Karan Singh et al.   BIOSYSTEMS ENGINEERING

Support vector machines and object-based classification for obtaining land-use/cover cartography from Hyperion hyperspectral imagery

(2011) George P. Petropoulos et al.   COMPUTERS & GEOSCIENCES

Estimating Leaf Chlorophyll Content Using Red Edge Parameters

(2010) Chang-Hua JU et al.   PEDOSPHERE

Selection of the most efficient wavelength bands for discriminating weeds from crop

(2008) A. Piron et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE