Evidence map›Paper›PMID 41471473›Full record

ArticleSensors (Basel, Switzerland)2025

IoT-Based System for Real-Time Monitoring and AI-Driven Energy Consumption Prediction in Fresh Fruit and Vegetable Transportation.

Chayapol Kamyod, Sujitra Arwatchananukul, Nattapol Aunsri, Rattapon Saengrayap, Khemapat Tontiwattanakul, Chureerat Prahsarn, Tatiya Trongsatitkul, Ladawan Lerslerwong, Pramod Mahajan, Cheong-Ghil Kim and 2 more

Abstract read
In one paragraph

Article 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

12 authors.

Chayapol KamyodSchool of Applied Digital Technology, Mae Fah Luang University, Chiang Rai 57100, Thailand.ORCID 0000-0003-2084-0456
Sujitra ArwatchananukulSchool of Applied Digital Technology, Mae Fah Luang University, Chiang Rai 57100, Thailand.ORCID 0000-0002-7828-1434
Nattapol AunsriSchool of Applied Digital Technology, Mae Fah Luang University, Chiang Rai 57100, Thailand.ORCID 0000-0001-5589-9138
Rattapon SaengrayapSchool of Agro-Industry, Mae Fah Luang University, Chiang Rai 57100, Thailand.ORCID 0000-0002-9589-3619
Khemapat TontiwattanakulDepartment of Mechanical and Aerospace Engineering, King Mongkut's University of Technology, North Bangkok 18000, Thailand.ORCID 0000-0002-1902-004X
Chureerat PrahsarnNational Metal and Materials Technology Center, National Science and Technology Development Agency, Pathumthani 12120, Thailand.ORCID 0000-0003-2894-7944
Tatiya TrongsatitkulSchool of Polymer Engineering, Suranaree University of Technology, Nakhon Ratchasima 30000, Thailand.ORCID 0000-0001-7143-0137
Ladawan LerslerwongAgricultural Innovation and Management Division, Faculty of Natural Resources, Prince of Songkla University, Songkhla 90110, Thailand.ORCID 0000-0003-3824-9517
Pramod MahajanDepartment of Systems Process Engineering, Leibniz Institute for Agricultural Engineering and Bioeconomy (ATB), 14469 Potsdam, Germany.ORCID 0000-0002-6597-9841
Cheong-Ghil KimDepartment of Computer Science, Namseoul University, Cheonan-si 31020, Republic of Korea.ORCID 0000-0001-8577-9348
Di WuCollege of Agriculture and Biotechnology, Zhejiang University, Hangzhou 310058, China.ORCID 0000-0002-4997-5082
Saowapa ChaiwongSchool of Agro-Industry, Mae Fah Luang University, Chiang Rai 57100, Thailand.ORCID 0000-0002-3750-0063

Funding

The National Science Research and Innovation Fund (NSRF) 2024 grant 672A04013The Office of the Permanent Secretary of the Ministry of Higher Education, Science, Research and Innovation [Reinventing University 2025] F01-683R-04-045
6 · The paper itself

Abstract

Temperature and humidity excursions during transport accelerate quality loss in fresh produce. This study develops and validates a self-contained Internet of Things (IoT) platform for in-transit monitoring and energy-aware operation. The battery-powered device operates independently of vehicle power and continuously logs temperature, relative humidity, GPS position, and onboard power draw. Power budgeting combines firmware-level deep-sleep scheduling with a LiFePO

Indexed as

Artificial IntelligenceFruitInternet of ThingsTransportationVegetablesElectric Power SuppliesHumansHumidityTemperaturebatteryBoosting MachineGPSLiFePO4modelperishable logisticstemperature

Identifiers

PMID41471473
PMCPMC12736595

What OpenQuestion holds

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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.