Evidence map›Paper›PMID 41286040›Full record

ArticleScientific reports2025

Agriculture applications contribution to improve precise pest management in China.

Hongmei Li, Yuanyuan Cheng, Mariam Amale Tanjani Jewel Kadzamira, Feng Zhang, Min Wan, Tao Zhang, Undarmaa Davaasambuu, Guangjun Wang

Abstract read
In one paragraph

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.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Hongmei LiMARA-CABI Joint Laboratory for Biosafety, Institute of Plant Protection, Chinese Academy of Agricultural Science, Beijing, 100193, China.
Yuanyuan ChengMARA-CABI Joint Laboratory for Biosafety, Institute of Plant Protection, Chinese Academy of Agricultural Science, Beijing, 100193, China.
Mariam Amale Tanjani Jewel KadzamiraCABI Ascot, Silwood Park, Buckhurst Road, Ascot, Berkshire, SL5 7PY, UK.
Feng ZhangMARA-CABI Joint Laboratory for Biosafety, Institute of Plant Protection, Chinese Academy of Agricultural Science, Beijing, 100193, China.
Min WanMARA-CABI Joint Laboratory for Biosafety, Institute of Plant Protection, Chinese Academy of Agricultural Science, Beijing, 100193, China.
Tao ZhangMARA-CABI Joint Laboratory for Biosafety, Institute of Plant Protection, Chinese Academy of Agricultural Science, Beijing, 100193, China.
Undarmaa DavaasambuuLaboratory of Applied Biological Control, School of Agroecology, Mongolian University of Life Sciences, Zaisan-53, Ulaanbaatar, 17024, Mongolia. undarmaa@muls.edu.mn.
Guangjun WangMARA-CABI Joint Laboratory for Biosafety, Institute of Plant Protection, Chinese Academy of Agricultural Science, Beijing, 100193, China. wangguangjun@caas.cn.

Funding

CABI Development Fund IVM10051National Key R and D Program of China 2023YFE0100100
6 · The paper itself

Abstract

The rapid proliferation of agricultural applications (apps) in China's digital village initiative necessitates systematic evaluation of their functionality and accessibility. Regarding the agricultural pest control apps that can be searched in the Chinese market, this study collected and analyzed information using 18 variables, involving developers, languages, application systems, identified objects and functions. There were 158 apps that met the 11 mandatory features, and most of the applications were developed for Android and iOS systems. The functions, accuracy, response time and goals of agricultural apps are all important factors affecting the download and application of agricultural apps. Identification apps are in the initial stage, while comprehensive application apps are gradually increasing. Regional or National, even of crop-specific pest management apps are becoming mainstream. Case studies of prominent Chinese apps provide critical services such as disease diagnosis, pest control recommendations, and farm management solutions, leading to quantifiable benefits including reduced pesticide use, decreased crop losses, and increased farmer income in China. Agricultural applications accessible via smartphones have great potential in preventing crop losses and reducing pesticide use. The development of agricultural pest and disease control applications still has a long way to go, including precise assessment and potential risks during the implementation process. There is no doubt that against the backdrop of the continuous growth of the global population, these applications will facilitate the digital prevention and control of agricultural pests.

Indexed as

AgricultureMobile ApplicationsPest ControlChinaCrops, AgriculturalHumansAgricultureAppsFunctionReleaseResponse timeTargets

Identifiers

PMID41286040
PMCPMC12644834

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.