Evidence map›Paper›PMID 41228845›Full record

ReviewSensors (Basel, Switzerland)2025

Pest Detection in Edible Crops at the Edge: An Implementation-Focused Review of Vision, Spectroscopy, and Sensors.

Dennys Jhon Báez-Sánchez, Julio Montesdeoca, Brayan Saldarriaga-Mesa, Gaston Gaspoz, Santiago Tosetti, Flavio Capraro

Abstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 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

6 authors.

Dennys Jhon Báez-SánchezUniversidad Politécnica Salesiana, Cuenca 010102, Ecuador.ORCID 0009-0008-8080-8929
Julio MontesdeocaUniversidad Politécnica Salesiana, Cuenca 010102, Ecuador.ORCID 0000-0001-9651-5938
Brayan Saldarriaga-MesaInstituto de Automática (INAUT), UNSJ-CONICET, Av. Lib. Gral. San Martín 1109 (oeste), San Juan J5400ARL, Argentina.ORCID 0009-0002-2901-2788
Gaston GaspozInstituto de Automática (INAUT), UNSJ-CONICET, Av. Lib. Gral. San Martín 1109 (oeste), San Juan J5400ARL, Argentina.ORCID 0009-0007-1695-5628
Santiago TosettiInstituto de Automática (INAUT), UNSJ-CONICET, Av. Lib. Gral. San Martín 1109 (oeste), San Juan J5400ARL, Argentina.ORCID 0000-0001-9255-5422
Flavio CapraroInstituto de Automática (INAUT), UNSJ-CONICET, Av. Lib. Gral. San Martín 1109 (oeste), San Juan J5400ARL, Argentina.ORCID 0000-0002-8915-1029

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Early pest detection in edible crops demands sensing solutions that can run at the edge under tight power, budget, and maintenance constraints. This review synthesizes peer-reviewed work (2015-2025) on three modality families-vision/AI, spectroscopy/imaging spectroscopy, and indirect sensors-restricted to edible crops and studies reporting some implementation or testing (

Indexed as

Biosensing TechniquesCrops, AgriculturalPest ControlSpectrum AnalysisHumanscomputer visiondecision mapsedge AIedible cropselectronic noseembedded sensinghyperspectral spectroscopyimplementabilityIoTpest detection

Identifiers

PMID41228845
PMCPMC12610156

What Socratic 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 Socratic graph.