On the public citation graph

Pineapple biomass estimation using unmanned aerial vehicle in various forcing stage: Vegetation index approach from ultra-high-resolution image

0 signed · 54 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 See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.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/10.1007/978-3-642-18333-1_35openalex-snapshot
Assessing Rice Chlorophyll Content with Vegetation Indices from Hyperspectral Data
inferredcites →https://doi.org/10.1007/s10725-009-9421-9openalex-snapshot
Forced flowering of pineapple (Ananas comosus cv. Tainon 17) in response to cold stress, ethephon and calcium carbide with or without activated charcoal
inferredcites →https://doi.org/10.1016/0034-4257(95)00186-7openalex-snapshot
Optimization of soil-adjusted vegetation indices
inferredcites →https://doi.org/10.1016/j.ecolind.2015.11.005openalex-snapshot
Modeling grassland aboveground biomass using a pure vegetation index
inferredcites →https://doi.org/10.1016/j.ecolind.2018.06.029openalex-snapshot
Suitability of NDVI and OSAVI as estimators of green biomass and coverage in a semi-arid rangeland
inferredcites →https://doi.org/10.1016/j.jag.2012.07.016openalex-snapshot
Rice monitoring with multi-temporal and dual-polarimetric TerraSAR-X data
inferredcites →https://doi.org/10.1016/j.jag.2014.08.002openalex-snapshot
Assessment of RapidEye vegetation indices for estimation of leaf area index and biomass in corn and soybean crops
inferredcites →https://doi.org/10.1016/j.jag.2015.03.002openalex-snapshot
Evaluating the relationship between biomass, percent groundcover and remote sensing indices across six winter cover crop fields in Maryland, United States
inferredcites →https://doi.org/10.1016/j.rse.2014.03.001openalex-snapshot
Modeling growing season phenology in North American forests using seasonal mean vegetation indices from MODIS
inferredcites →https://doi.org/10.1038/hortres.2015.56openalex-snapshot
Developing single nucleotide polymorphism markers for the identification of pineapple (Ananas comosus) germplasm
inferredcites →https://doi.org/10.1038/s41598-018-21963-0openalex-snapshot
Estimating apple tree canopy chlorophyll content based on Sentinel-2A remote sensing imaging
inferredcites →https://doi.org/10.1038/s41598-018-28313-0openalex-snapshot
Surface nanogrooving of carbon microtubes
inferredcites →https://doi.org/10.1063/1.5055514openalex-snapshot
Production of orthophoto map using UAV photogrammetry: A case study in UTHM Pagoh campus
inferredcites →https://doi.org/10.1079/9780851995038.0000openalex-snapshot
The pineapple: botany, production and uses
inferredcites →https://doi.org/10.1079/9780851995038.0167openalex-snapshot
Inflorescence and fruit development and yield.
inferredcites →https://doi.org/10.1079/9781786393302.0000openalex-snapshot
The pineapple: botany, production and uses
inferredcites →https://doi.org/10.1079/9781786393302.0233openalex-snapshot
Inflorescence and fruit development and yield.
inferredcites →https://doi.org/10.1109/igarss.2002.1026867openalex-snapshot
Transformed difference vegetation index (TDVI) for vegetation cover mapping
inferredcites →https://doi.org/10.1109/igarss.2016.7729908openalex-snapshot
Biophysiological spectral indices retrieval and statistical analysis for red palm weevil stressattack prediction using Worldview-3 data
inferredcites →https://doi.org/10.1111/cobi.12397openalex-snapshot
Ten ways remote sensing can contribute to conservation
inferredcites →https://doi.org/10.1111/j.1757-1707.2010.01088.xopenalex-snapshot
Bioenergy production potential of global biomass plantations under environmental and agricultural constraints
inferredcites →https://doi.org/10.1590/s0100-204x2017001000001openalex-snapshot
Correlations between spectral and biophysical data obtained in canola canopy cultivated in the subtropical region of Brazil
inferredcites →https://doi.org/10.18502/kls.v2i6.1056openalex-snapshot
Competitiveness and the Factors Affecting Export of the Indonesia Canned Pineapple in the World and the Destination Countries
inferredcites →https://doi.org/10.21176/protan.v5i8.513openalex-snapshot
RESPON PEMBUNGAAN DAN HASIL TANAMAN NANAS (Ananas comosus (L.) Merr) cv. SMOOTH CAYENNE TERHADAP PENGURANGAN PEMUPUKAN DAN APLIKASI ETILEN
inferredcites →https://doi.org/10.2480/agrmet.69.1.1openalex-snapshot
Monitoring aboveground biomass in semiarid grasslands using MODIS images
inferredcites →https://doi.org/10.24895/sng.2018.3-0.957openalex-snapshot
PENGARUH SUDUT KAMERA UAV TERHADAP KUALITAS FOTO UDARA WILAYAH BENCANA LONGSOR (Studi Kasus: Bentanglahan Vulkanik Transisi Tersier Kuarter)
inferredcites →https://doi.org/10.29244/jitl.14.2.56-65openalex-snapshot
TEKNIK PENGINDERAAN JAUH UNTUK PEMILIHAN LAHAN PERTANIAN PADI SAWAH BERKELANJUTAN
inferredcites →https://doi.org/10.30536/j.pjpdcd.2011.v8.a1612openalex-snapshot
PENGEMBANGAN METODE PENENTUAN INDEKS LUAS DAUN PADA PENUTUP LAHAN HUTAN DARI DATA SATELIT PENGINDERAAN JAUH SPOT-2
inferredcites →https://doi.org/10.3133/fs20083097openalex-snapshot
Carbon sequestration to mitigate climate change
inferredcites →https://doi.org/10.3303/cet1863022openalex-snapshot
Ultimate and proximate analysis of malaysia pineapple biomass from md2 cultivar for biofuel application
inferredcites →https://doi.org/10.3390/plants8110495openalex-snapshot
Leaf Senescence: The Chloroplast Connection Comes of Age
inferredcites →https://doi.org/10.3390/rs11070851openalex-snapshot
Replacing the Red Band with the Red-SWIR Band (0.74ρred+0.26ρswir) Can Reduce the Sensitivity of Vegetation Indices to Soil Background
inferredcites →https://doi.org/10.3390/rs11232757openalex-snapshot
A Comparative Study of RGB and Multispectral Sensor-Based Cotton Canopy Cover Modelling Using Multi-Temporal UAS Data
inferredcites →https://doi.org/10.3390/rs6021211openalex-snapshot
The Generalized Difference Vegetation Index (GDVI) for Dryland Characterization
inferredcites →https://doi.org/10.3732/apps.1600094openalex-snapshot
Is biomass a reliable estimate of plant fitness?
inferredcites →https://doi.org/10.4067/s0718-95162013005000034openalex-snapshot
The effects of composted pineapple residue return on soil properties and the growth and yield of pineapple
inferredcites →https://doi.org/10.5194/isprsarchives-xl-1-w5-619-2015openalex-snapshot
UAV PHOTOGRAMMETRY: A PRACTICAL SOLUTION FOR CHALLENGING MAPPING PROJECTS
inferredcites →https://doi.org/10.5897/jgrp11.098openalex-snapshot
Spectral vegetation indices performance evaluated for Cholistan Desert

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.4740378openalex-extracted
Low-Cost Ground-Based NDVI Sensor Device for Manual and Automated Crop Monitoring
inferred← citeshttps://doi.org/10.1007/s10661-026-15172-wopenalex-snapshot
Data-driven multisource estimation of aboveground biomass density: a baseline for rangeland monitoring
inferred← citeshttps://doi.org/10.1007/s12892-025-00283-6openalex-snapshot
The use of RGB vegetation indices to predict the buckwheat yield at the flowering stage
inferred← citeshttps://doi.org/10.1016/j.atech.2024.100650openalex-snapshot
Subtropical region tea tree LAI estimation integrating vegetation indices and texture features derived from UAV multispectral images
inferred← citeshttps://doi.org/10.1016/j.atech.2024.100741openalex-snapshot
Enhancing soil total nitrogen prediction in rice fields using advanced Geo-AI integration of remote sensing data and environmental covariates
inferred← citeshttps://doi.org/10.1016/j.atech.2025.100892openalex-snapshot
A new, low-cost ground-based NDVI sensor for manual and automated crop monitoring
inferred← citeshttps://doi.org/10.1080/01431161.2026.2662532openalex-snapshot
Super-resolution-enhanced texture and vegetation index fusion for drone-based detection of corn growth status under waterlogging stress
inferred← citeshttps://doi.org/10.1088/1755-1315/1426/1/012001openalex-snapshot
Predictive assessment of pineapple chlorophyll content using proximal sensing and visible bands through ground & UAV inspection
inferred← citeshttps://doi.org/10.1109/igarss55030.2025.11243000openalex-snapshot
Combining UAV Multispectral Data & Crop Morphological Features for Sunflower Oil Content Estimation
inferred← citeshttps://doi.org/10.17660/actahortic.2025.1434.7openalex-snapshot
The use of ornamental shrubs for sustainable urban greening: the case of Spiraea × vanhouttei L. grown on a constructed technosol
inferred← citeshttps://doi.org/10.25077/aijans.v3.i02.114-119.2022openalex-snapshot
DECISION SUPPORT SYSTEM BY USING MULTIPLE ATTRIBUTE DECISION MAKING WITH SIMPLE ADDITIVE WEIGHTING METHOD (MADM-SAW) METHOD IN SELECTING THE BEST BROMELAIN
inferred← citeshttps://doi.org/10.32604/phyton.2025.067439openalex-snapshot
Limitation of RGB-Derived Vegetation Indices Using UAV Imagery for Biomass Estimation during Buckwheat Flowering
inferred← citeshttps://doi.org/10.3389/fpls.2026.1956870openalex-snapshot
Fine-scale grassland land-cover classification using UAV RGB and multispectral imagery with staged feature selection
inferred← citeshttps://doi.org/10.3390/agriculture15131425openalex-snapshot
Prediction of Rice Chlorophyll Index (CHI) Using Nighttime Multi-Source Spectral Data
inferred← citeshttps://doi.org/10.3390/drones9030186openalex-snapshot
Estimating Stratified Biomass in Cotton Fields Using UAV Multispectral Remote Sensing and Machine Learning
inferred← citeshttps://doi.org/10.5772/intechopen.115091openalex-snapshot
Use Cases of Technologies in Precision Agriculture: Selected Abstracts Submitted to the 10th Asian-Australasian Conference on Precision Agriculture (ACPA10)
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.