A Neural Network Model of Maize Crop Nitrogen Stress Assessment for a Multi-spectral Imaging Sensor

No abstract is available for this paper.

• Publication year

  2006

• Venue

  Biosystems Engineering

• Publication date

  2006-08-01

• Fields of study

  Agricultural and Food Sciences, Engineering, Environmental Science

• Identifiers
  DOI 10.1016/J.BIOSYSTEMSENG.2006.04.009
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Chlorophyll Estimation Using Multispectral Reflectance and Height Sensing

  2007cited by this paper
• DYNAMIC CALIBRATION AND IMAGE SEGMENTATION METHODS FOR MULTISPECTRAL IMAGING CROP NITROGEN DEFICIENCY SENSORS

  2005cited by this paper
• MULTISPECTRAL AND COLOR IMAGING TECHNIQUES FOR NITRATE AND CHLOROPHYLL DETERMINATION OF POTATO LEAVES IN A CONTROLLED ENVIRONMENT

  2004cited by this paper
• NARROW-BAND AND DERIVATIVE-BASED VEGETATION INDICES FOR HYPERSPECTRAL DATA

  2004cited by this paper
• Chlorophyll Estimation Using Multi-spectral Reflectance and Height Sensing

  2004cited by this paper
• A Genetic Algorithm Based Tool for Analysis and Modeling of Multi-Spectral Data

  2003cited by this paper
• ON–THE–GO SENSING OF CHLOROPHYLL STATUS IN CORN

  2002cited by this paper
• Ambient Illumination Effect on A Spectral Image Sensor for Detecting Crop Nitrogen Stress

  2001cited by this paper
• Mapping grain sorghum growth and yield variations using airborne multispectral digital imagery.

  2000cited by this paper
• Using a chlorophyll meter to manage nitrogen applications to corn with high nitrate irrigation water

  1999cited by this paper
• An on-farm communication system for precision farming with nitrogen real-time application

  1999cited by this paper
• Opportunities and limitations for image-based remote sensing in precision crop management

  1997cited by this paper
• Use of a Chlorophyll Meter to Predict Sidedress Nitrogen Requirements for Maize

  1992cited by this paper
• Maize Production Impacts on Groundwater Quality

  1991cited by this paper
• Neural Networks: Theoretical Foundations and Analysis

  1991cited by this paper
• Pesticide Management for Water Quality, Principles and Practices

  1990cited by this paper
• Global Crop Forecasting

  1980cited by this paper

• Evaluation of nitrogen deficiency in maize leaves’ diffuse reflectance spectra by means of a light–vegetation interaction model and support vector machine

  2025cites this paper
• Multilayer optimized deep learning model to analyze spectral indices for predicting the condition of rice blast disease

  2024cites this paper
• Prediction of chlorophyll relative content in tea plant canopy using optimize GRNN algorithm and RPA multispectral images

  2024cites this paper
• CNN driven nutrient deficiency detection in plants using real-world leaf images

  2024cites this paper
• Cadmium toxicity to and accumulation in a soil collembolan (Folsomia candida): major factors and prediction using a back-propagation neural network model

  2024cites this paper
• Elucidating the prediction capability of neural network model for estimation of crop water stress index of rice

  2023cites this paper
• CONVOLUTIONAL SVM NETWORKS FOR DETECTION OF GANODERMA BONINENSE AT EARLY STAGE IN OIL PALM USING UAV AND MULTISPECTRAL PLEIADES IMAGES

  2023cites this paper
• Influencing factors of selenium transformation in a soil–rice system and prediction of selenium content in rice seeds: a case study in Ninghua County, Fujian Province

  2023cites this paper
• Capturing crop adaptation to abiotic stress using image-based technologies

  2022cites this paper
• Rapid Diagnosis of Nitrogen Nutrition Status in Summer Maize over Its Life Cycle by a Multi-Index Synergy Model Using Ground Hyperspectral and UAV Multispectral Sensor Data

  2022cites this paper
• Spectral Library of Maize Leaves under Nitrogen Deficiency Stress

  2022cites this paper
• Agricultural and Field Robotics: An Introduction

  2021cites this paper
• Analysis of the hydrocarbon seepage detection in oil palm vegetation stress using unmanned aerial vehicle (UAV) multispectral data

  2020cites this paper
• A deep learning algorithm for detection of potassium deficiency in a red grapevine and spraying actuation using a raspberry pi3

  2020cites this paper
• Approach for the Classification of Polliniferous Vegetation Using Multispectral Imaging and Neural Networks

  2020cites this paper
• Evaluación de la respuesta espectral y biofísica de un cultivo de caña de azúcar a la fertilización nitrogenada

  2020cites this paper
• A Novel Method for Estimating Nitrogen Stress in Plants Using Smartphones

  2020cites this paper
• Modeling wheat yield with data-intelligent algorithms

  2020cites this paper
• A low-cost smartphone controlled sensor based on image analysis for estimating whole-plant tissue nitrogen (N) content in floriculture crops

  2020cites this paper
• Comparing methods for estimating leaf area index by multi-angular remote sensing in winter wheat

  2020cites this paper
• Use of an Elastic-Damping Mechanism in the Tractor Transmission of a Small Class of Traction (14 kN)

  2019cites this paper
• Prediction of the chlorophyll content in pomegranate leaves based on digital image processing technology and stacked sparse autoencoder

  2019cites this paper
• Estimating Chlorophyll Concentration Index in Sugar Beet Leaves Using an Artificial Neural Network

  2019cites this paper
• Wind Field Distribution of Multi-rotor UAV and Its Influence on Spectral Information Acquisition of Rice Canopies

  2019cites this paper
• A Comparative Study of Deep CNN in Forecasting and Classifying the Macronutrient Deficiencies on Development of Tomato Plant

  2019cites this paper
• Hyperspectral Estimation of Canopy Leaf Biomass Phenotype per Ground Area Using a Continuous Wavelet Analysis in Wheat

  2018cites this paper
• Nutrient content monitoring of potato plant based on spectrum device

  2018cites this paper
• Potential of UAV-Based Active Sensing for Monitoring Rice Leaf Nitrogen Status

  2018cites this paper
• Image Analysis using Color Co-occurrence Matrix Textural Features for Predicting Nitrogen Content in Spinach

  2018cites this paper
• Application of Artificial Neural Network Classification to Determine Nutrient Content in Oil Palm Leaves

  2018cites this paper
• Estimating leaf chlorophyll contents by combining multiple spectral indices with an artificial neural network

  2017cites this paper
• Use of Artificial Neural Network in Predicting Survival and Growth Rates and Biochemical Characteristics in Dendrobium Sonia-28

  2017influential citation
• Software development of STS Miniature spectrometer for crop monitoring system

  2017cites this paper
• Erratum to: Estimating leaf chlorophyll contents by combining multiple spectral indices with an artificial neural network

  2017cites this paper
• Multilayer Perceptron Neural Network Approach to Estimate Chlorophyll Concentration Index of Lettuce (Lactuca sativa L.)

  2017cites this paper
• Artificial Neural Network to Predict Vine Water Status Spatial Variability Using Multispectral Information Obtained from an Unmanned Aerial Vehicle (UAV)

  2017cites this paper
• Artificial neural network for modeling nitrate pollution of groundwater in marginal area of Zayandeh-rood River, Isfahan, Iran

  2017cites this paper
• Early Detection of Ganoderma Basal Stem Rot of Oil Palms Using Artificial Neural Network Spectral Analysis.

  2017cites this paper
• Desarrollo de un modelo predictivo usando tecnología NIRs para determinar las extracciones del triticale de doble aptitud (forraje y grano)

  2016cites this paper
• A multi-sensor system for high throughput field phenotyping in soybean and wheat breeding

  2016cites this paper
• Identification of Phragmites australis and Spartina alterniflora in the Yangtze Estuary between Bayes and BP neural network using hyper-spectral data

  2016cites this paper
• Improving remote sensing crop classification by argumentation-based conflict resolution in ensemble learning

  2016cites this paper
• The Prediction of Saint John ’ s Wort Leaves ’ Chlorophyll Concentration Index using Image Processing with Artificial Neural Network

  2015cites this paper
• Multivariable integration method for estimating sea surface salinity in coastal waters from in situ data and remotely sensed data using random forest algorithm

  2015cites this paper
• Indirect Estimations of Lentil Leaf and Plant N by SPAD Chlorophyll Meter

  2015influential citation
• Yapay Sinir Ağı ile Görüntü İşleme Kullanarak Kantaronda Klorofil Konsantrasyon Endeksi Tahmini

  2015cites this paper
• Nitrogen estimation of paddy based on leaf reflectance using Artificial Neural Network

  2015cites this paper
• Partial root zone drying irrigation and different nitrogen levels affect on nitrogen recovery efficiency for drip irrigated sugar beet crop.

  2014cites this paper
• Comparative analysis of different uni- and multi-variate methods for estimation of vegetation water content using hyper-spectral measurements

  2014cites this paper
• Quick Estimation of Apple (Red Delicious and Golden Delicious) Leaf Area and Chlorophyll Content

  2014cites this paper
• RGB imaging for the determination of the nitrogen content in plants

  2014cites this paper
• Application of artificial neural network in predicting crop yield: a review

  2014cites this paper
• Image analysis for plants: Basic procedures and techniques

  2014cites this paper
• Application of spectrometry in agricultural practices

  2013cites this paper
• omparative analysis of different uni-and multivariate methods for stimation of vegetation water content using hyperspectral easurements

  2013cites this paper
• Basic Concept of Visual Informatics and Agricultural Application of Spectral Imaging as Its New Technology

  2012cites this paper
• Monitoring of maize chlorophyll content based on multispectral vegetation indices

  2012cites this paper
• Quantization of moisture content in yerba mate leaves through image processing

  2012cites this paper
• Guidelines for in-season nitrogen application for maize (Zea mays L.) based on soil and terrain properties

  2011cites this paper
• Using wavelet transform and multi-class least square support vector machine in multi-spectral imaging classification of Chinese famous tea

  2011cites this paper
• Assessment of Pb-induced stress levels on rice based on fractal characteristic of spectral high-frequency components

  2011cites this paper
• Estimation of Canopy Leaf Nitrogen Status Using Imaging Spectrometer and Digital Camera in Cotton: Estimation of Canopy Leaf Nitrogen Status Using Imaging Spectrometer and Digital Camera in Cotton

  2011cites this paper
• Estimation of single leaf chlorophyll content in sugar beet using machine vision

  2011influential citation
• Evaluation of maize growth by ground based multi-spectral image

  2011cites this paper
• Integrating spectral indices with environmental parameters for estimating heavy metal concentrations in rice using a dynamic fuzzy neural-network model

  2011cites this paper
• Machine Area Networks

  2010cites this paper
• Estimating leaf chlorophyll content of rice under heavy metal stress using neural network model

  2010cites this paper
• Neural-network model for estimating leaf chlorophyll concentration in rice under stress from heavy metals using four spectral indices

  2010cites this paper
• Detection of cowpea weevil (Callosobruchus maculatus (F.)) in soybean with hyperspectral spectrometry and a backpropagation neural network

  2010cites this paper
• A new method in assessing sugar beet leaf nitrogen status through color image processing and artificial neural network.

  2010cites this paper
• Determinación del nivel de nutrición foliar en banano por espectrometría de reflectancia.

  2009cites this paper
• Detection and differentiation of nitrogen-deficiency, powdery mildew and leaf rust at wheat leaf and canopy level by laser-induced chlorophyll fluorescence

  2009cites this paper
• FOLIAR NUTRITION DETERMINATION LEVEL ON BANANAS BY REFLECTANCE SPECTROMETRY

  2009cites this paper
• Quantification of Nitrogen Status in Rice by Least Squares Support Vector Machines and Reflectance Spectroscopy

  2009cites this paper
• Discriminação entre estágios nutricionais na cultura do trigo com técnicas de visão artificial e medidor portátil de clorofila

  2008cites this paper
• APPLICATION OF FUZZY REASONING TO ASSESSMENT OF CROP STRESS LEVEL BASED ON MODIS DATA: A FOCUS ON HEAVY METAL POLLUTION

  2008cites this paper
• Early detection and discrimination of biotic and abiotic stresses in Triticum aestivum and Malus domestica by means of chlorophyll fluorescence

  2008cites this paper
• Airborne hyperspectral imaging for estimating acorn yield based on the PLS B-matrix calibration technique

  2008cites this paper
• Discriminating varieties of tea plant based on Vis/NIR spectral characteristics and using artificial neural networks

  2008cites this paper
• Early detection and discrimination of biotic and abiotic stresses in Triticum aestivum and Malus domestica by means of chlorophyll fluorescence

  2008cites this paper
• Shape identification and particles size distribution from basic shape parameters using ImageJ

  2008cites this paper
• Monitoring and screening plant populations with combined thermal and chlorophyll fluorescence imaging.

  2007cites this paper