Evidence map›Paper›PMID 36146315›Full record

ArticleSensors (Basel, Switzerland)2022

Monitoring Wheat Lodging at Various Growth Stages.

Shuangshuai Jiang, Jinyu Hao, Han Li, Changzhen Zuo, Xia Geng, Xiaoyong Sun

Abstract 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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. Article
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

6 authors.

Shuangshuai JiangAgricultural Big-Data Research Center, College of Information Science and Engineering, Shandong Agricultural University, Tai'an 271018, China.
Jinyu HaoAgricultural Big-Data Research Center, College of Information Science and Engineering, Shandong Agricultural University, Tai'an 271018, China.
Han LiAgricultural Big-Data Research Center, College of Information Science and Engineering, Shandong Agricultural University, Tai'an 271018, China.
Changzhen ZuoAgricultural Big-Data Research Center, College of Information Science and Engineering, Shandong Agricultural University, Tai'an 271018, China.
Xia GengDepartment of Data Science, College of Information Science and Engineering, Shandong Agricultural University, Tai'an 271018, China.
Xiaoyong SunAgricultural Big-Data Research Center, College of Information Science and Engineering, Shandong Agricultural University, Tai'an 271018, China.

Funding

the National Natural Science Foundation of China 32070684the Shandong Provincial Natural Science Foundation ZR2021MC168
6 · The paper itself

Abstract

Lodging is one of the primary factors that reduce wheat yield; therefore, rapid and accurate monitoring of wheat lodging helps to provide data support for crop loss and damage response and the subsequent settlement of agricultural insurance claims. In this study, we aimed to address two problems: (1) calculating the wheat lodging area. Through comparative experiments, the SegFormer-B1 model can achieve a better segmentation effect of wheat lodging plots with a higher prediction rate and a stronger generalization ability. This model has an accuracy of 96.56%, which realizes the accurate extraction of wheat lodging plots and the relatively precise calculation of the wheat lodging area. (2) Analyzing wheat lodging areas from various growth stages. The model established, based on the mixed-stage dataset, generally outperforms those set up based on the single-stage datasets in terms of the segmentation effect. The SegFormer-B1 model established based on the mixed-stage dataset, with its mIoU reaching 89.64%, was applicable to wheat lodging monitoring throughout the whole growth cycle of wheat.

Indexed as

AgricultureTriticumarea calculationdeep learninggrowth stagesunmanned aerial vehicle (UAV)wheat lodging

Identifiers

PMID36146315
PMCPMC9502829

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.