On the public citation graph

Spectral Phenotyping of Physiological and Anatomical Leaf Traits Related with Maize Water Status

https://doi.org/10.1104/pp.20.00577

0 signed · 154 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.

Claim with ORCID

Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.

See reference health

What this work says

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

inferredcites →https://doi.org/10.1006/anbo.2000.1193openalex-snapshot

External Pressures Based on Leaf Water Potentials Do Not Induce Xylem Sap to Flow at Rates of Whole Plant Transpiration from Roots of Flooded or Well-drained Tomato and Maize Plants. Impact of Shoot Hydraulic Resistances

inferredcites →https://doi.org/10.1007/978-0-387-79418-1openalex-snapshot

Handbook of Maize: Its Biology

inferredcites →https://doi.org/10.1007/978-0-387-79418-1_16openalex-snapshot

Drought Tolerance in Maize

inferredcites →https://doi.org/10.1007/978-3-030-33157-3openalex-snapshot

Remote Sensing of Plant Biodiversity

inferredcites →https://doi.org/10.1007/978-3-030-33157-3_15openalex-snapshot

Spectral Field Campaigns: Planning and Data Collection

inferredcites →https://doi.org/10.1007/s00216-012-6513-6openalex-snapshot

Rapid phytochemical analysis of birch (Betula) and poplar (Populus) foliage by near-infrared reflectance spectroscopy

inferredcites →https://doi.org/10.1007/s00442-010-1800-4openalex-snapshot

Predicting tropical plant physiology from leaf and canopy spectroscopy

inferredcites →https://doi.org/10.1007/s004420050337openalex-snapshot

The photochemical reflectance index: an optical indicator of photosynthetic radiation use efficiency across species, functional types, and nutrient levels

inferredcites →https://doi.org/10.1007/s11120-013-9837-yopenalex-snapshot

Using leaf optical properties to detect ozone effects on foliar biochemistry

inferredcites →https://doi.org/10.1007/s11356-017-9568-2openalex-snapshot

Reflectance spectroscopy: a novel approach to better understand and monitor the impact of air pollution on Mediterranean plants

inferredcites →https://doi.org/10.1007/s11738-014-1704-8openalex-snapshot

Response of stomatal density and bound gas exchange in leaves of maize to soil water deficit

inferredcites →https://doi.org/10.1016/0034-4257(87)90094-0openalex-snapshot

Measurement of leaf relative water content by infrared reflectance

inferredcites →https://doi.org/10.1016/0034-4257(89)90069-2openalex-snapshot

Remote sensing of foliar chemistry

inferredcites →https://doi.org/10.1016/0034-4257(95)00235-9openalex-snapshot

Critique of stepwise multiple linear regression for the extraction of leaf biochemistry information from leaf reflectance data

inferredcites →https://doi.org/10.1016/j.biosystemseng.2014.08.012openalex-snapshot

Detecting crop water status in mature olive groves using vegetation spectral measurements

inferredcites →https://doi.org/10.1016/j.chemolab.2004.12.011openalex-snapshot

Performance of some variable selection methods when multicollinearity is present

inferredcites →https://doi.org/10.1016/j.compag.2010.05.006openalex-snapshot

Comparative analysis of three chemometric techniques for the spectroradiometric assessment of canopy chlorophyll content in winter wheat

inferredcites →https://doi.org/10.1016/j.fcr.2010.08.008openalex-snapshot

Quantification of fructan concentration in grasses using NIR spectroscopy and PLSR

inferredcites →https://doi.org/10.1016/j.fcr.2011.12.016openalex-snapshot

Prediction of grain yield using reflectance spectra of canopy and leaves in maize plants grown under different water regimes

inferredcites →https://doi.org/10.1016/j.isprsjprs.2007.02.001openalex-snapshot

Red edge shift and biochemical content in grass canopies

inferredcites →https://doi.org/10.1016/j.isprsjprs.2015.09.003openalex-snapshot

Combining leaf physiology, hyperspectral imaging and partial least squares-regression (PLS-R) for grapevine water status assessment

inferredcites →https://doi.org/10.1016/j.molp.2017.04.009openalex-snapshot

Machine Learning Techniques for Predicting Crop Photosynthetic Capacity from Leaf Reflectance Spectra

inferredcites →https://doi.org/10.1016/j.rse.2004.01.017openalex-snapshot

Hyperspectral indices and model simulation for chlorophyll estimation in open-canopy tree crops

inferredcites →https://doi.org/10.1016/j.rse.2004.06.002openalex-snapshot

Use of hyperspectral derivative ratios in the red-edge region to identify plant stress responses to gas leaks

inferredcites →https://doi.org/10.1016/j.rse.2007.01.023openalex-snapshot

Water content estimation from hyperspectral images and MODIS indexes in Southeastern Arizona

inferredcites →https://doi.org/10.1016/j.rse.2015.05.024openalex-snapshot

Remotely estimating photosynthetic capacity, and its response to temperature, in vegetation canopies using imaging spectroscopy

inferredcites →https://doi.org/10.1016/j.rse.2019.04.029openalex-snapshot

High-throughput field phenotyping using hyperspectral reflectance and partial least squares regression (PLSR) reveals genetic modifications to photosynthetic capacity

inferredcites →https://doi.org/10.1016/j.scienta.2015.03.012openalex-snapshot

Spectroscopic estimation of leaf water content in commercial vineyards using continuum removal and partial least squares regression

inferredcites →https://doi.org/10.1016/j.tplants.2013.09.008openalex-snapshot

Field high-throughput phenotyping: the new crop breeding frontier

inferredcites →https://doi.org/10.1016/s0034-4257(02)00036-6openalex-snapshot

Designing a spectral index to estimate vegetation water content from remote sensing data

inferredcites →https://doi.org/10.1016/s0034-4257(02)00151-7openalex-snapshot

Estimation of vegetation water content and photosynthetic tissue area from spectral reflectance: a comparison of indices based on liquid water and chlorophyll absorption features

inferredcites →https://doi.org/10.1016/s0034-4257(96)00067-3openalex-snapshot

NDWI—A normalized difference water index for remote sensing of vegetation liquid water from space

inferredcites →https://doi.org/10.1016/s0169-7439(01)00155-1openalex-snapshot

PLS-regression: a basic tool of chemometrics

inferredcites →https://doi.org/10.1016/s0377-8401(03)00173-1openalex-snapshot

Prediction of the quality of forage maize by near-infrared reflectance spectroscopy

inferredcites →https://doi.org/10.1016/s1360-1385(96)80019-7openalex-snapshot

The role of xanthophyll cycle carotenoids in the protection of photosynthesis

inferredcites →https://doi.org/10.1023/a:1025608728405openalex-snapshot

Application of Reflectance Spectroscopy for Analysis of Higher Plant Pigments

inferredcites →https://doi.org/10.1029/2009gl038906openalex-snapshot

Non‐destructive detection of water stress and estimation of relative water content in maize

inferredcites →https://doi.org/10.1038/hortres.2014.33openalex-snapshot

Maintenance of water uptake and reduced water loss contribute to water stress tolerance of Spiraea alba Du Roi and Spiraea tomentosa L.

inferredcites →https://doi.org/10.1038/nrg3901openalex-snapshot

Genetic mechanisms of abiotic stress tolerance that translate to crop yield stability

inferredcites →https://doi.org/10.1038/s41598-017-06929-yopenalex-snapshot

A systems approach to a spatio-temporal understanding of the drought stress response in maize

inferredcites →https://doi.org/10.1056/jd200001010000005openalex-snapshot

Early Detection of

inferredcites →https://doi.org/10.1073/pnas.1116437108openalex-snapshot

Global food demand and the sustainable intensification of agriculture

inferredcites →https://doi.org/10.1080/01431160310001654473openalex-snapshot

Study of heavy metal contamination in river floodplains using the red-edge position in spectroscopic data

inferredcites →https://doi.org/10.1080/01431169308954010openalex-snapshot

The reflectance at the 950–970 nm region as an indicator of plant water status

inferredcites →https://doi.org/10.1080/01431169408954177openalex-snapshot

The red edge position and shape as indicators of plant chlorophyll content, biomass and hydric status.

inferredcites →https://doi.org/10.1093/jxb/eraa068openalex-snapshot

Plot-level rapid screening for photosynthetic parameters using proximal hyperspectral imaging

inferredcites →https://doi.org/10.1093/jxb/erl118openalex-snapshot

Monitoring plant and soil water status: established and novel methods revisited and their relevance to studies of drought tolerance

inferredcites →https://doi.org/10.1093/jxb/erq340openalex-snapshot

Photosynthesis and drought: can we make metabolic connections from available data?

inferredcites →https://doi.org/10.1093/jxb/err294openalex-snapshot

Leaf optical properties reflect variation in photosynthetic metabolism and its sensitivity to temperature

inferredcites →https://doi.org/10.1093/jxb/erx421openalex-snapshot

Hyperspectral reflectance as a tool to measure biochemical and physiological traits in wheat

inferredcites →https://doi.org/10.1093/treephys/28.7.1037openalex-snapshot

Seasonal photosynthetic gas exchange and leaf reflectance characteristics of male and female cottonwoods in a riparian woodland

inferredcites →https://doi.org/10.1093/treephys/tpx106openalex-snapshot

Using foliar spectral properties to assess the effects of drought on plant water potential

inferredcites →https://doi.org/10.1094/cchem-86-5-0556openalex-snapshot

High‐Throughput Near‐Infrared Reflectance Spectroscopy for Predicting Quantitative and Qualitative Composition Phenotypes of Individual Maize Kernels

inferredcites →https://doi.org/10.1094/pdis-01-18-0054-reopenalex-snapshot

Integrating Spectroscopy with Potato Disease Management

inferredcites →https://doi.org/10.1104/pp.16.01447openalex-snapshot

High-Throughput Phenotyping of Maize Leaf Physiological and Biochemical Traits Using Hyperspectral Reflectance

inferredcites →https://doi.org/10.1109/tsmcb.2003.817107openalex-snapshot

Sparse Modeling Using Orthogonal Forward Regression With PRESS Statistic and Regularization

inferredcites →https://doi.org/10.1111/2041-210x.12391openalex-snapshot

Near‐infrared spectroscopy ( NIRS ) predicts non‐structural carbohydrate concentrations in different tissue types of a broad range of tree species

inferredcites →https://doi.org/10.1111/2041-210x.12596openalex-snapshot

Spectroscopic determination of ecologically relevant plant secondary metabolites

inferredcites →https://doi.org/10.1111/gcb.12014openalex-snapshot

Atmospheric change alters performance of an invasive forest insect

inferredcites →https://doi.org/10.1111/gcb.13662openalex-snapshot

Effects of extreme drought on specific leaf area of grassland species: A meta‐analysis of experimental studies in temperate and sub‐Mediterranean systems

inferredcites →https://doi.org/10.1111/j.1467-9868.2005.00503.xopenalex-snapshot

Regularization and Variable Selection Via the Elastic Net

inferredcites →https://doi.org/10.1111/j.1467-9868.2011.00771.xopenalex-snapshot

Regression Shrinkage and Selection via The Lasso: A Retrospective

inferredcites →https://doi.org/10.1111/j.1469-8137.2011.03791.xopenalex-snapshot

Photochemical reflectance index (PRI) and remote sensing of plant CO2 uptake

inferredcites →https://doi.org/10.1111/j.1755-0238.2010.00117.xopenalex-snapshot

Non-destructive measurement of grapevine water potential using near infrared spectroscopy

inferredcites →https://doi.org/10.1111/j.2517-6161.1996.tb02080.xopenalex-snapshot

Regression Shrinkage and Selection Via the Lasso

inferredcites →https://doi.org/10.1111/nph.12159openalex-snapshot

Spectroscopic sensitivity of real‐time, rapidly induced phytochemical change in response to damage

inferredcites →https://doi.org/10.1139/x26-068openalex-snapshot

Determination of carbon fraction and nitrogen concentration in tree foliage by near infrared reflectances: a comparison of statistical methods

inferredcites →https://doi.org/10.1371/journal.pone.0032925openalex-snapshot

Poplar GTL1 Is a Ca2+/Calmodulin-Binding Transcription Factor that Functions in Plant Water Use Efficiency and Drought Tolerance

inferredcites →https://doi.org/10.1590/s0103-90162009000300001openalex-snapshot

Grapevine leaf water potential based upon near infrared spectroscopy

inferredcites →https://doi.org/10.18637/jss.v033.i01openalex-snapshot

Regularization Paths for Generalized Linear Models via Coordinate Descent

inferredcites →https://doi.org/10.1890/09-1999.1openalex-snapshot

Taxonomy and remote sensing of leaf mass per area (LMA) in humid tropical forests

inferredcites →https://doi.org/10.2134/agronj2005.0106openalex-snapshot

Remotely Measuring Chlorophyll Content in Corn Leaves with Differing Nitrogen Levels and Relative Water Content

inferredcites →https://doi.org/10.2134/agronj2016.05.0260openalex-snapshot

Spectroscopic Determination of Leaf Nitrogen Concentration and Mass Per Area in Sweet Corn and Snap Bean

inferredcites →https://doi.org/10.2307/1942049openalex-snapshot

Relationships Between NDVI, Canopy Structure, and Photosynthesis in Three Californian Vegetation Types

inferredcites →https://doi.org/10.3354/cr01143openalex-snapshot

High-resolution projections of climate-related risks for the Midwestern USA

inferredcites →https://doi.org/10.3389/fphys.2012.00305openalex-snapshot

Phenotyping maize for adaptation to drought

inferredcites →https://doi.org/10.3390/plants8090346openalex-snapshot

Early Detection of Sage (Salvia officinalis L.) Responses to Ozone Using Reflectance Spectroscopy

inferredcites →https://doi.org/10.3390/rs71115203openalex-snapshot

Estimation of Canopy Water Content by Means of Hyperspectral Indices Based on Drought Stress Gradient Experiments of Maize in the North Plain China

inferredcites →https://doi.org/10.5344/ajev.2007.58.3.302openalex-snapshot

Evaluation of Hyperspectral Reflectance Indexes to Detect Grapevine Water Status in Vineyards

inferredcites →https://doi.org/10.6084/m9.figshare.745311openalex-snapshot

Spectroscopic determination of leaf nutritional, morphological, and metabolic traits

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.4837254openalex-extracted

Apple Chlorotic Leaf Spot Virus Infection Affects the Physiology and Biochemistry of Leaves and the Quality of Fruits of Tuscany (Central Italy) Autochthonous Apple Varieties

inferred← citeshttps://doi.org/10.1002/9781119874157.ch10openalex-snapshot

Role of the Genomics–Phenomics–Agronomy Paradigm in Plant Breeding

inferred← citeshttps://doi.org/10.1002/csc2.70073openalex-snapshot

Heritability, heterosis, and hybrid/inbred classification ability of maize leaf hyperspectral signals under changing soil nitrogen

inferred← citeshttps://doi.org/10.1002/ppj2.70059openalex-snapshot

Robustness of high‐throughput prediction of leaf ecophysiological traits using near infrared spectroscopy and poro‐fluorometry

inferred← citeshttps://doi.org/10.1002/ppj2.70073openalex-snapshot

Spatial and temporal scales in plant phenotyping for crop water stress assessment: A review

inferred← citeshttps://doi.org/10.1007/s10530-022-02891-7openalex-snapshot

Physiochemical responses of Ailanthus altissima under the challenge of Verticillium dahliae: elucidating the decline of one of the world’s worst invasive alien plant species

inferred← citeshttps://doi.org/10.1007/s11119-024-10133-0openalex-snapshot

An applied framework to unlocking multi-angular UAV reflectance data: a case study for classification of plant parameters in maize (Zea mays)

inferred← citeshttps://doi.org/10.1007/s11676-021-01378-wopenalex-snapshot

Spectroscopic detection of forest diseases: a review (1970–2020)

inferred← citeshttps://doi.org/10.1007/s40626-023-00287-zopenalex-snapshot

Trichomes affect grapevine leaf optical properties and thermoregulation

inferred← citeshttps://doi.org/10.1016/j.atech.2024.100626openalex-snapshot

Leveraging leaf spectroscopy to identify drought-tolerant soybean cultivars

inferred← citeshttps://doi.org/10.1016/j.atech.2026.101963openalex-snapshot

Phenotyping maize stay green traits via in situ leaf hyperspectral reflectance sensing

inferred← citeshttps://doi.org/10.1016/j.atech.2026.102586openalex-snapshot

A practical framework for rice bacterial blight severity classification using 3D multispectral sensing

inferred← citeshttps://doi.org/10.1016/j.compag.2022.106806openalex-snapshot

Non-destructive analysis of plant physiological traits using hyperspectral imaging: A case study on drought stress

inferred← citeshttps://doi.org/10.1016/j.compag.2023.108463openalex-snapshot

Onfield estimation of quality parameters in alfalfa through hyperspectral spectrometer data

inferred← citeshttps://doi.org/10.1016/j.compag.2024.109346openalex-snapshot

Spectrum imaging for phenotypic detection of greenhouse vegetables: A review

inferred← citeshttps://doi.org/10.1016/j.compag.2025.110976openalex-snapshot

Influence of computed tomography X-ray doses on maize root and shoot development in A controlled environment

inferred← citeshttps://doi.org/10.1016/j.compag.2026.111636openalex-snapshot

Development of a deep learning-assisted multispectral device for non-destructive detection and analysis of nicosulfuron stress in field maize

inferred← citeshttps://doi.org/10.1016/j.compag.2026.112179openalex-snapshot

Leaf- and canopy-level hyperspectral sensing of wheat-Fusarium head blight-Trichoderma gamsii interactions

inferred← citeshttps://doi.org/10.1016/j.crope.2025.04.004openalex-snapshot

Hyperspectral reflectance at canopy and leaf levels for predicting yield and physiological traits in spring wheat under Mediterranean conditions

inferred← citeshttps://doi.org/10.1016/j.envexpbot.2020.104309openalex-snapshot

Oxidative stress assessment by a spectroscopic approach in pomegranate plants under a gradient of ozone concentrations

inferred← citeshttps://doi.org/10.1016/j.fcr.2024.109618openalex-snapshot

Unlocking maize yield potential through exploring canopy-root interactions with nature-based nutrient management

inferred← citeshttps://doi.org/10.1016/j.foodchem.2024.140651openalex-snapshot

Using VIS-NIR hyperspectral imaging and deep learning for non-destructive high-throughput quantification and visualization of nutrients in wheat grains

inferred← citeshttps://doi.org/10.1016/j.indcrop.2025.122134openalex-snapshot

A novel cross-modal decoupling dual-spectral fusion system and method: A case study on the on-site estimation of fresh tobacco leaf curing characteristics

inferred← citeshttps://doi.org/10.1016/j.infrared.2023.104921openalex-snapshot

Leaf water content determination of oilseed rape using near-infrared hyperspectral imaging with deep learning regression methods

inferred← citeshttps://doi.org/10.1016/j.infrared.2025.105732openalex-snapshot

Estimation models for maize leaf water content at various stages using near-infrared spectroscopy

inferred← citeshttps://doi.org/10.1016/j.isprsjprs.2026.04.038openalex-snapshot

Linking hyperspectral remote sensing and tree hydraulic functioning for pre-emergence detection of bark beetle infestations

inferred← citeshttps://doi.org/10.1016/j.scitotenv.2021.150219openalex-snapshot

Foliar optical traits capture physiological and phenological leaf plasticity in Tilia×euchlora in the urban environment

inferred← citeshttps://doi.org/10.1016/j.tplants.2021.07.015openalex-snapshot

Advances in optical phenotyping of cereal crops

inferred← citeshttps://doi.org/10.1016/j.xplc.2021.100209openalex-snapshot

Hyperspectral reflectance-based phenotyping for quantitative genetics in crops: Progress and challenges

inferred← citeshttps://doi.org/10.1021/acsomega.6c05120openalex-snapshot

VIS–NIR–SWIR Proximal Spectroradiometry Coupled with Machine Learning and Deep Learning for Ornamental Plant Identification and Classification

inferred← citeshttps://doi.org/10.1038/s41467-023-42298-zopenalex-snapshot

Robotized indoor phenotyping allows genomic prediction of adaptive traits in the field

inferred← citeshttps://doi.org/10.1038/s41598-026-36819-1openalex-snapshot

Generalizability and transferability of machine learning models using hyperspectral reflectance data for maize traits

inferred← citeshttps://doi.org/10.1093/genetics/iyac065openalex-snapshot

High-throughput characterization, correlation, and mapping of leaf photosynthetic and functional traits in the soybean (Glycine max) nested association mapping population

inferred← citeshttps://doi.org/10.1093/jxb/erac077openalex-snapshot

Advances in field-based high-throughput photosynthetic phenotyping

inferred← citeshttps://doi.org/10.1093/jxb/erad129openalex-snapshot

A leaf-level spectral library to support high-throughput plant phenotyping: predictive accuracy and model transfer

inferred← citeshttps://doi.org/10.1093/plcell/koac324openalex-snapshot

Time for a drought experiment: Do you know your plants’ water status?

inferred← citeshttps://doi.org/10.1093/plphys/kiab527openalex-snapshot

Can we harness digital technologies and physiology to hasten genetic gain in US maize breeding?

inferred← citeshttps://doi.org/10.1094/phyto-02-23-0061-ropenalex-snapshot

Non-Destructive Monitoring of Foliar Fungicide Efficacy with Hyperspectral Sensing in Grapevine

inferred← citeshttps://doi.org/10.1101/2021.02.26.433135openalex-snapshot

Hyperspectral sensing of photosynthesis, stomatal conductance, and transpiration for citrus tree under drought condition

inferred← citeshttps://doi.org/10.1101/2022.12.14.520506openalex-snapshot

Quantifying physiological trait variation with automated hyperspectral imaging in rice

inferred← citeshttps://doi.org/10.1101/2025.10.29.685438openalex-snapshot

Estimating resource acquisition and water-use traits in wine grapes using reflectance spectroscopy

inferred← citeshttps://doi.org/10.1109/metroagrifor58484.2023.10424242openalex-snapshot

Hyperspectral detection and monitoring of eggplant verticillium wilt in field conditions

inferred← citeshttps://doi.org/10.1111/2041-210x.70100openalex-snapshot

Spectral wavelength range influences the performance of chemometric models estimating various foliar functional traits

inferred← citeshttps://doi.org/10.1111/nph.19669openalex-snapshot

Spectral ecophysiology: hyperspectral pressure–volume curves to estimate leaf turgor loss

inferred← citeshttps://doi.org/10.1111/nph.71366openalex-snapshot

A novel method based on high‐resolution imaging spectroscopy to predict fine‐root traits and the economics space of fresh tree roots

inferred← citeshttps://doi.org/10.1111/pbr.13258openalex-snapshot

Harnessing Speed Breeding in Controlled Environment Ecosystem for Millets Sustainability

inferred← citeshttps://doi.org/10.1111/pce.14892openalex-snapshot

Inside‐out: Synergising leaf biochemical traits with stomatal‐regulated water fluxes to enhance transpiration modelling during abiotic stress

inferred← citeshttps://doi.org/10.1111/pce.15263openalex-snapshot

Hyperspectral Leaf Reflectance Detects Interactive Genetic and Environmental Effects on Tree Phenotypes, Enabling Large‐Scale Monitoring and Restoration Planning Under Climate Change

inferred← citeshttps://doi.org/10.1111/ppa.14004openalex-snapshot

Apple chlorotic leaf spot virus infection affects the physiology and biochemistry of leaves and the quality of fruits of Tuscany (Italy) autochthonous apple varieties

inferred← citeshttps://doi.org/10.1186/s13007-024-01312-1openalex-snapshot

Prediction and mapping of leaf water content in Populus alba var. pyramidalis using hyperspectral imagery

inferred← citeshttps://doi.org/10.1371/journal.pone.0336560openalex-snapshot

Predicting leaf traits in wine grapes with reflectance spectroscopy

inferred← citeshttps://doi.org/10.17129/botsci.3474openalex-snapshot

Intra and interspecific variation in foliage phenology and leaf spectroscopy in nine Baja Californian shrub species

inferred← citeshttps://doi.org/10.17521/cjpe.2022.0223openalex-snapshot

Hyperspectral remote sensing of plant functional traits: monitoring techniques and future advances

inferred← citeshttps://doi.org/10.20944/preprints202103.0519.v1openalex-snapshot

Harnessing Agronomics Through Genomics and Phenomics in Plant Breeding: A Review

inferred← citeshttps://doi.org/10.21203/rs.3.rs-3727057/v1openalex-snapshot

WITHDRAWN: Leveraging Leaf Spectroscopy to Identify Drought-Resistant Soybean Cultivars

inferred← citeshttps://doi.org/10.21203/rs.3.rs-3727057/v2openalex-snapshot

WITHDRAWN: Leveraging Leaf Spectroscopy to Identify Drought-Resistant Soybean Cultivars

inferred← citeshttps://doi.org/10.22541/au.166758438.80985158/v1openalex-snapshot

Reflecting on hyperspectral imaging: multiple strategies to model Nitrogen status in maize leaves

inferred← citeshttps://doi.org/10.23919/ist-africa67297.2025.11060475openalex-snapshot

Remote Sensing Application in Maize Production: A Bibliometric Analysis

inferred← citeshttps://doi.org/10.3389/fpls.2021.751868openalex-snapshot

Assessing Drought and Heat Stress-Induced Changes in the Cotton Leaf Metabolome and Their Relationship With Hyperspectral Reflectance

inferred← citeshttps://doi.org/10.3389/fpls.2023.1229161openalex-snapshot

Quantifying physiological trait variation with automated hyperspectral imaging in rice

inferred← citeshttps://doi.org/10.3390/agriculture13040916openalex-snapshot

Non-Destructive Appraisal of Macro- and Micronutrients in Persimmon Leaves Using Vis/NIR Hyperspectral Imaging

inferred← citeshttps://doi.org/10.3390/agronomy14010140openalex-snapshot

Inverting Chlorophyll Content in Jujube Leaves Using a Back-Propagation Neural Network–Random Forest–Ridge Regression Algorithm with Combined Hyperspectral Data and Image Color Channels

inferred← citeshttps://doi.org/10.3390/plants12183264openalex-snapshot

Physiological and Biochemical Responses Induced by Plum Pox Virus and Plum Bark Necrosis Steam Pitting Associated Virus in Tuscany Autochthonous Plum cv. Coscia di Monaca

inferred← citeshttps://doi.org/10.3390/plants15121782openalex-snapshot

Methodology for Selecting Stable UAV-Based Vegetation Indices for Prediction of Agronomic Variables in Maize Using a Multispectral Sensor

inferred← citeshttps://doi.org/10.3390/plants8090346openalex-snapshot

Early Detection of Sage (Salvia officinalis L.) Responses to Ozone Using Reflectance Spectroscopy

inferred← citeshttps://doi.org/10.3390/rs13112160openalex-snapshot

Evaluating the Performance of Hyperspectral Leaf Reflectance to Detect Water Stress and Estimation of Photosynthetic Capacities

inferred← citeshttps://doi.org/10.3390/rs13193991openalex-snapshot

Incorporating Multi-Scale, Spectrally Detected Nitrogen Concentrations into Assessing Nitrogen Use Efficiency for Winter Wheat Breeding Populations

inferred← citeshttps://doi.org/10.3390/rs13204144openalex-snapshot

Leaf Surface Reflectance Does Not Affect Biophysical Traits Modelling from VIS-NIR Spectra in Plants with Sparsely Distributed Trichomes

inferred← citeshttps://doi.org/10.3390/rs15184631openalex-snapshot

Regional-Scale Monitoring of Wheat Stripe Rust Using Remote Sensing and Geographical Detectors

inferred← citeshttps://doi.org/10.3390/s23042339openalex-snapshot

Spectroradiometer Calibration for Radiance Transfer Measurements

inferred← citeshttps://doi.org/10.34133/plantphenomics.0021openalex-snapshot

Hyperspectral Remote Sensing for Phenotyping the Physiological Drought Response of Common and Tepary Bean

inferred← citeshttps://doi.org/10.34133/plantphenomics.0252openalex-snapshot

Fruit Water Stress Index of Apple Measured by Means of Temperature-Annotated 3D Point Cloud

inferred← citeshttps://doi.org/10.4067/s0718-58392023000200168openalex-snapshot

Genetic analysis of anthracnose resistant and heat tolerant chili inbreed lines based on morpho-physiological characteristics

inferred← citeshttps://doi.org/10.4995/thesis/10251/207010openalex-snapshot

Predicción de macro y micronutrientes en hojas de cítricos y caqui utilizando métodos ópticos no destructivos

Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.