Evidence map›Paper›PMID 30658494›Full record

ArticleSensors (Basel, Switzerland)2019

Sensitivity of a Ratio Vegetation Index Derived from Hyperspectral Remote Sensing to the Brown Planthopper Stress on Rice Plants.

Ye Tan, Jia-Yi Sun, Bing Zhang, Meng Chen, Yu Liu, Xiang-Dong Liu

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. A novel method for detecting brown planthopper (Frontiers in plant science · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. 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.

Ye TanDepartment of Entomology, Nanjing Agricultural University, Nanjing 210095, China. 2015102081@njau.edu.cn.
Jia-Yi SunDepartment of Entomology, Nanjing Agricultural University, Nanjing 210095, China. sjynjau@163.com.
Bing ZhangDepartment of Entomology, Nanjing Agricultural University, Nanjing 210095, China. 2016102078@njau.edu.cn.
Meng ChenDepartment of Entomology, Nanjing Agricultural University, Nanjing 210095, China. 2017102078@njau.edu.cn.
Yu LiuDepartment of Entomology, Nanjing Agricultural University, Nanjing 210095, China. 2018102085@njau.edu.cn.
Xiang-Dong LiuDepartment of Entomology, Nanjing Agricultural University, Nanjing 210095, China. liuxd@njau.edu.cn.

Funding

Jiangsu Province Agricultural Science and Technology Independent Innovation Fund Project CX(16)1001
6 · The paper itself

Abstract

Remote sensing end-products related to vegetation have potential applications in monitoring the health of crops. The sensitivity of a spectral index to crop stress determines its application prospect. Our aim in this study was to explore the sensitivity of a ratio vegetation index (RVI) to identify the damage caused by brown planthoppers (BPHs) on rice plants, and to evaluate the potential application of hyperspectral end-products to monitor population size of BPH. Different numbers of the second-instar nymphs were released onto potted rice at the tillering stage. The plants were exposed to BPH for two, four, six, and eight days, and reflectance from the damaged rice was measured using a hyperspectral spectroradiometer. Measurements were done again two, four, and six days after exposure (recover days), and then the spectral index RVI

Indexed as

Nilaparvata lugenspopulation sizereflectancericesensitivityspectral indextime threshold

Identifiers

PMID30658494
PMCPMC6358769

What OpenQuestion holds

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Registered trials

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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.