4.7 Article

Estimating Plant Nitrogen by Developing an Accurate Correlation between VNIR-Only Vegetation Indexes and the Normalized Difference Nitrogen Index

Related references

Note: Only part of the references are listed.
Article Environmental Sciences

Estimation of Leaf Nitrogen Content in Rice Using Vegetation Indices and Feature Variable Optimization with Information Fusion of Multiple-Sensor Images from UAV

Sizhe Xu et al.

Summary: Leaf nitrogen content (LNC) is crucial for diagnosing crop growth status and guiding fertilization decisions. This study utilizes UAV remote sensing and image fusion techniques to estimate LNC more effectively. The results show that fusion images improve accuracy compared to original multispectral images, and the RIDGE-SPA combined method performs best for LNC estimation in rice.

REMOTE SENSING (2023)

Review Plant Sciences

Nitrogen use efficiency-a key to enhance crop productivity under a changing climate

Prabhu Govindasamy et al.

Summary: Nitrogen is essential for plant growth, but only 50% of applied nitrogen is effectively used by crops, with the rest being lost to the environment. This has negative impacts on farmer's returns and environmental pollution. Improving nitrogen use efficiency is critical.

FRONTIERS IN PLANT SCIENCE (2023)

Article Green & Sustainable Science & Technology

A Deep Learning-Based Approach to Predict Large-Scale Dynamics of Normalized Difference Vegetation Index for the Monitoring of Vegetation Activities and Stresses Using Meteorological Data

Ying Sun et al.

Summary: By simulating NDVI and using a deep learning method (BiLSTM) with only meteorological data, we attempt to predict vegetation activities and stresses. Experimental results show consistent predicted NDVI and a high accuracy in deciduous forest.

SUSTAINABILITY (2023)

Review Ecology

Soil nitrogen dynamics in natural forest ecosystem: a review

Muhammad Fahad Sardar et al.

Summary: Nitrogen plays a crucial role in the health of forest ecosystems, especially in broadleaf and Moso bamboo forests. Despite extensive research on soil properties, microorganism diversity, and carbon and nitrogen dynamics, our understanding of nitrogen dynamics and its significance in these forests remains limited. This article provides a comprehensive overview of the role of nitrogen dynamics in broadleaf and Moso bamboo forests and highlights the changes in soil physicochemical properties. As these ecosystems are highly sensitive to even minor changes, studying nitrogen dynamics in these forests can provide valuable insights for future research.

FRONTIERS IN FORESTS AND GLOBAL CHANGE (2023)

Article Agronomy

Estimation of Nitrogen Content Based on the Hyperspectral Vegetation Indexes of Interannual and Multi-Temporal in Cotton

Lulu Ma et al.

Summary: This study explores the correlation between hyperspectral vegetation indexes and leaf nitrogen concentration (LNC) and canopy nitrogen density (CND) of drip-irrigated cotton in different growth periods. Using hyperspectral information, the study establishes nitrogen estimation models for cotton using different modeling methods. The results provide a theoretical basis for hyperspectral monitoring of crop nutrients and canopy structure.

AGRONOMY-BASEL (2022)

Article Plant Sciences

Estimation of the nitrogen content of potato plants based on morphological parameters and visible light vegetation indices

Yiguang Fan et al.

Summary: This study explores the potential to improve the accuracy of estimating plant nitrogen content (PNC) during critical growth periods of potatoes by combining visible light vegetation indices (VIs) and morphological parameters (MPs) obtained from a cheap UAV digital camera. The results show that visible light VIs combined with MPs can improve the accuracy of estimating PNC, providing a feasible method for monitoring crop growth and nitrogen status.

FRONTIERS IN PLANT SCIENCE (2022)

Article Agronomy

A Computer-Vision-Based Approach for Nitrogen Content Estimation in Plant Leaves

Tazeem Haider et al.

Summary: This study discusses the importance of nitrogen in crops and proposes a computer vision-based solution to help farmers measure nitrogen content in crops more conveniently and quickly. By capturing leaf images on a specially designed slate and extracting and analyzing them automatically, a green color value index is defined as a nitrogen indicator. Evaluation of different color distance models is presented to accurately capture color differences.

AGRICULTURE-BASEL (2021)

Article Plant Sciences

Unique contributions of chlorophyll and nitrogen to predict crop photosynthetic capacity from leaf spectroscopy

Sheng Wang et al.

Summary: This study evaluated various models for predicting leaf traits from hyperspectral reflectance, showing that accurate estimation of chlorophyll content and nitrogen concentration can be achieved through remote sensing methods, leading to improved predictions of V-max.

JOURNAL OF EXPERIMENTAL BOTANY (2021)

Article Environmental Sciences

Estimating Leaf Nitrogen Content in Corn Based on Information Fusion of Multiple-Sensor Imagery from UAV

Xingang Xu et al.

Summary: This study utilized UAVs equipped with multispectral and RGB sensors to evaluate leaf nitrogen content in corn, introducing a novel CASIs method for estimation. CASIs proved to be more effective than traditional VIs for estimating LNC in all growth stages, with the R1 stage showing the best performance.

REMOTE SENSING (2021)

Article Agriculture, Multidisciplinary

Which multispectral indices robustly measure canopy nitrogen across seasons: Lessons from an irrigated pasture crop

Manish Kumar Patel et al.

Summary: This study evaluated the performance of popular canopy nitrogen indices under various biomass and fertiliser application levels as well as different seasons. The results showed that the relationship between canopy nitrogen indices and CNC varied significantly between growth stages and seasons, emphasizing the importance of considering a wide range of conditions when evaluating multispectral CNC indices.

COMPUTERS AND ELECTRONICS IN AGRICULTURE (2021)

Review Biochemistry & Molecular Biology

Next Generation Cereal Crop Yield Enhancement: From Knowledge of Inflorescence Development to Practical Engineering by Genome Editing

Lei Liu et al.

Summary: This review discusses the knowledge of inflorescence yield-related traits in cereal crops, introduces recent advances in breeding optimization using genome-editing technologies, and anticipates a new era of breeding practice.

INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES (2021)

Article Environmental Sciences

Estimation of Paddy Rice Nitrogen Content and Accumulation Both at Leaf and Plant Levels from UAV Hyperspectral Imagery

Li Wang et al.

Summary: This study aimed to estimate different paddy rice N traits from UAV-based hyperspectral images, and evaluate the effects of growth stages. The results suggest that the correlation between nitrogen traits and other biochemical traits is affected by the growth stage. The performance of selected VIs is relatively constant within a single growth stage but more diverse for full-growth-stage models.

REMOTE SENSING (2021)

Article Environmental Sciences

Assessing Performance of Vegetation Indices to Estimate Nitrogen Nutrition Index in Pepper

Romina de Souza et al.

REMOTE SENSING (2020)

Article Environmental Sciences

Vegetation Detection Using Deep Learning and Conventional Methods

Bulent Ayhan et al.

REMOTE SENSING (2020)

Article Agriculture, Multidisciplinary

A novel bilinear unmixing approach for reconsideration of subpixel classification of land cover

Yucel Cimtay et al.

COMPUTERS AND ELECTRONICS IN AGRICULTURE (2018)

Article Environmental Sciences

Global trends in nitrate leaching research in the 1960-2017 period

Francisco M. Padilla et al.

SCIENCE OF THE TOTAL ENVIRONMENT (2018)

Review Chemistry, Analytical

Proximal Optical Sensors for Nitrogen Management of Vegetable Crops: A Review

Francisco M. Padilla et al.

SENSORS (2018)

Article Agriculture, Multidisciplinary

Variable rate nitrogen fertilizer response in wheat using remote sensing

Bruno Basso et al.

PRECISION AGRICULTURE (2016)

Article Environmental Sciences

Vegetation Indices for Mapping Canopy Foliar Nitrogen in a Mixed Temperate Forest

Zhihui Wang et al.

REMOTE SENSING (2016)

Article Agriculture, Multidisciplinary

Consideration of total available N supply reduces N fertilizer requirement and potential for nitrate leaching loss in tomato production

Freddy Soto et al.

AGRICULTURE ECOSYSTEMS & ENVIRONMENT (2015)

Editorial Material Multidisciplinary Sciences

Agree on biodiversity metrics to track from space

Andrew K. Skidmore et al.

NATURE (2015)

Review Soil Science

Nitrogen cycling and management in intensive horticultural systems

K. A. Congreves et al.

NUTRIENT CYCLING IN AGROECOSYSTEMS (2015)

Article Environmental Sciences

Remote sensing of foliar nitrogen in cultivated grasslands of human dominated landscapes

Paul A. Pellissier et al.

REMOTE SENSING OF ENVIRONMENT (2015)

Article Environmental Sciences

Estimating Cotton Nitrogen Nutrition Status Using Leaf Greenness and Ground Cover Information

Farrah Melissa Muharam et al.

REMOTE SENSING (2015)

Article Environmental Sciences

Evaluation of Six Algorithms to Monitor Wheat Leaf Nitrogen Concentration

Xia Yao et al.

REMOTE SENSING (2015)

Article Environmental Sciences

Assessing the Robustness of Vegetation Indices to Estimate Wheat N in Mediterranean Environments

Davide Cammarano et al.

REMOTE SENSING (2014)

Review Ecology

Review of optical-based remote sensing for plant trait mapping

Lucie Homolova et al.

ECOLOGICAL COMPLEXITY (2013)

Article Remote Sensing

Hyperspectral analysis of mangrove foliar chemistry using PLSR and support vector regression

Christoffer Axelsson et al.

INTERNATIONAL JOURNAL OF REMOTE SENSING (2013)

Article Geography, Physical

Remotely detecting canopy nitrogen concentration and uptake of paddy rice in the Northeast China Plain

Kang Yu et al.

ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2013)

Article Multidisciplinary Sciences

Hyperspectral remote sensing of foliar nitrogen content

Yuri Knyazikhin et al.

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2013)

Letter Multidisciplinary Sciences

Nitrogen cycling, forest canopy reflectance, and emergent properties of ecosystems

Scott V. Ollinger et al.

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2013)

Letter Multidisciplinary Sciences

Disentangling the contribution of biological and physical properties of leaves and canopies in imaging spectroscopy data

Philip A. Townsend et al.

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2013)

Editorial Material Multidisciplinary Sciences

Essential Biodiversity Variables

H. M. Pereira et al.

SCIENCE (2013)

Article Environmental Sciences

How deep does a remote sensor sense? Expression of chlorophyll content in a maize canopy

Veronica S. Ciganda et al.

REMOTE SENSING OF ENVIRONMENT (2012)

Article Environmental Sciences

Diagnostic mapping of canopy nitrogen content in rice based on hyperspectral measurements

Yoshio Inoue et al.

REMOTE SENSING OF ENVIRONMENT (2012)

Article Environmental Sciences

Estimating Canopy Nitrogen Concentration in Sugarcane Using Field Imaging Spectroscopy

Poonsak Miphokasap et al.

REMOTE SENSING (2012)

Article Geography, Physical

An investigation into robust spectral indices for leaf chlorophyll estimation

Russell Main et al.

ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2011)

Article Geography, Physical

Water-removed spectra increase the retrieval accuracy when estimating savanna grass nitrogen and phosphorus concentrations

Abel Ramoelo et al.

ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2011)

Article Ecology

Airborne spectranomics: mapping canopy chemical and taxonomic diversity in tropical forests

Gregory P. Asner et al.

FRONTIERS IN ECOLOGY AND THE ENVIRONMENT (2009)

Article Environmental Sciences

Characterizing canopy biochemistry from imaging spectroscopy and its application to ecosystem studies

Raymond F. Kokaly et al.

REMOTE SENSING OF ENVIRONMENT (2009)

Article Agronomy

Estimating chlorophyll content from hyperspectral vegetation indices: Modeling and validation

Chaoyang Wu et al.

AGRICULTURAL AND FOREST METEOROLOGY (2008)

Article Agronomy

Estimating the nitrogen nutrition index using spectral canopy reflectance measurements

Bodo Mistele et al.

EUROPEAN JOURNAL OF AGRONOMY (2008)

Article Multidisciplinary Sciences

Canopy nitrogen, carbon assimilation, and albedo in temperate and boreal forests: Functional relations and potential climate feedbacks

S. V. Ollinger et al.

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2008)

Article Environmental Sciences

A generalizable method for remote sensing of canopy nitrogen across a wide range of forest ecosystems

M. E. Martin et al.

REMOTE SENSING OF ENVIRONMENT (2008)

Review Agronomy

Application of spectral remote sensing for agronomic decisions

J. L. Hatfield et al.

AGRONOMY JOURNAL (2008)

Article Meteorology & Atmospheric Sciences

Assessing future nitrogen deposition and carbon cycle feedback using a multimodel approach: Analysis of nitrogen deposition

JF Lamarque et al.

JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES (2005)

Article Geosciences, Multidisciplinary

Remote estimation of canopy chlorophyll content in crops -: art. no. L08403

AA Gitelson et al.

GEOPHYSICAL RESEARCH LETTERS (2005)

Article Multidisciplinary Sciences

The worldwide leaf economics spectrum

IJ Wright et al.

NATURE (2004)

Article Environmental Sciences

Estimating foliage nitrogen concentration from HYMAP data using continuum removal analysis

Z Huang et al.

REMOTE SENSING OF ENVIRONMENT (2004)

Article Geochemistry & Geophysics

Prediction of eucalypt foliage nitrogen content from satellite-derived hyperspectral data

NC Coops et al.

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2003)

Article Environmental Sciences

Overview of the radiometric and biophysical performance of the MODIS vegetation indices

A Huete et al.

REMOTE SENSING OF ENVIRONMENT (2002)

Article Geochemistry & Geophysics

Scaling-up and model inversion methods with narrowband optical indices for chlorophyll content estimation in closed forest canopies with hyperspectral data

PJ Zarco-Tejada et al.

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2001)