Non-Destructive Monitoring of Crop Fresh Weight and Leaf Area with a Simple Formula and a Convolutional Neural Network.

Taewon Moon, Dongpil Kim, Sungmin Kwon, Tae In Ahn, Jung Eek Son

Open access · goldAbstract read

In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it

0cells of the map it votes in

1citing papers in PubMed

2.5field-weighted citation impact, top 11% of its field

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

1 citing paper in PubMed, 13 citations in OpenAlex.

Research Progress on Plant Responses to Stress Combinations in the Context of Climate Change.Plants (Basel, Switzerland) · 2024
Review

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Taewon MoonResearch Institute of Agriculture and Life Sciences, Seoul National University, Seoul 08826, Korea.ORCID 0000-0002-1593-7870

Dongpil KimDepartment of Agriculture, Forestry and Bioresources, Seoul National University, Seoul 08826, Korea.

Sungmin KwonDepartment of Agriculture, Forestry and Bioresources, Seoul National University, Seoul 08826, Korea.

Tae In AhnResearch Institute of Agriculture and Life Sciences, Seoul National University, Seoul 08826, Korea.

Jung Eek SonResearch Institute of Agriculture and Life Sciences, Seoul National University, Seoul 08826, Korea.ORCID 0000-0002-0080-0417

Seoul National University · KR

Funding

Korea Institute of Planning and Evaluation for Technology in Food, Agriculture, Forestry and Fisheries 717001-7

6 · The paper itself

Abstract

Crop fresh weight and leaf area are considered non-destructive growth factors due to their direct relation to vegetative growth and carbon assimilation. Several methods to measure these parameters have been introduced; however, measuring these parameters using the existing methods can be difficult. Therefore, a non-destructive measurement method with high versatility is essential. The objective of this study was to establish a non-destructive monitoring system for estimating the fresh weight and leaf area of trellised crops. The data were collected from a greenhouse with sweet peppers (

Indexed as

CapsicumPlant LeavesCarbonCrops, AgriculturalNeural Networks, ComputerWaterCarbonWaterartificial intelligencedeep learningmachine learningplant environmentprecision agriculture

Identifiers

PMID36298080

DOI10.3390/s22207728

PMCPMC9607460

OpenAlexW4304689547

What OpenQuestion holds

Textmetadata

LicenceCC BY

Read underepoch 390

Registered trials

None linked

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.