Evidence map›Paper›PMID 41387485›Full record

ArticleScientific reports2025

Growth analysis of cotton using UAS derived multi temporal canopy features.

Sindhu Palla, Sayantan Sarkar, Lei Zhao, Juan Landivar, Jose Landivar Scott, Murilo Maeda, Joshua McGinty, Seth Abugho, Jinha Jung, Nithya Rajan and 1 more

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Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Sindhu PallaTexas A&M University - Kingsville, Kingsville, TX, 78363, USA.
Sayantan SarkarTexas A&M AgriLife Research and Extension Center, Corpus Christi, TX, 78406, USA.
Lei ZhaoTexas A&M AgriLife Research and Extension Center, Corpus Christi, TX, 78406, USA.
Juan LandivarTexas A&M AgriLife Research and Extension Center, Corpus Christi, TX, 78406, USA.
Jose Landivar ScottTexas A&M AgriLife Research and Extension Center, Corpus Christi, TX, 78406, USA.
Murilo MaedaTexas A&M AgriLife Research and Extension Center, Corpus Christi, TX, 78406, USA.
Joshua McGintyTexas A&M AgriLife Research and Extension Center, Corpus Christi, TX, 78406, USA.
Seth AbughoTexas A&M University - Kingsville, Kingsville, TX, 78363, USA.
Jinha JungLyles School of Civil and Construction Engineering, Purdue University, West Lafayette, IN, 47907, USA.
Nithya RajanDepartment of Soil and Crop Sciences, Texas A&M University, College Station, TX, 77843, USA.
Mahendra BhandariTexas A&M AgriLife Research and Extension Center, Corpus Christi, TX, 78406, USA. Mahendra.Bhandari@ag.tamu.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Unoccupied aerial systems (UAS) are becoming a regular tool in agriculture to obtain phenotypic information of plant growth and development. In this study, we collected red, green, and blue (RGB) images using UAS multiple times throughout the growing season from a cotton field experiment conducted in 2016 and 2021. Collected images were processed to obtain digital surface models (DSMs) from which canopy height (CH) measurements were extracted. Crop growth curve was obtained by fitting several non-linear growth functions on the multi-temporal CH measurements. The five-parameter logistic function performed best with highest R

Indexed as

GossypiumUnmanned Aerial DevicesAgricultureGenotypeCanopy heightHigh-throughput phenotypingPlant growth analysisUAS

Identifiers

PMID41387485
PMCPMC12706097

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.