Evidence map›Paper›PMID 39771822›Full record

ArticleSensors (Basel, Switzerland)2024

Energy-Efficient Wireless Multimedia Sensor Nodes for Plant Proximal Monitoring.

Daniele Trinchero, Giovanni Paolo Colucci, Elena Filipescu, Ussama Syed Muhammad Zafar, Paola Battilani

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

5 authors.

Daniele TrincheroiXem Labs, Department of Electronics and Telecommunications (DET), Politecnico di Torino, 10129 Torino, Italy.ORCID 0000-0002-5508-9853
Giovanni Paolo ColucciiXem Labs, Department of Electronics and Telecommunications (DET), Politecnico di Torino, 10129 Torino, Italy.ORCID 0000-0003-2345-012X
Elena FilipescuiXem Labs, Department of Electronics and Telecommunications (DET), Politecnico di Torino, 10129 Torino, Italy.ORCID 0009-0000-0293-4243
Ussama Syed Muhammad ZafariXem Labs, Department of Electronics and Telecommunications (DET), Politecnico di Torino, 10129 Torino, Italy.
Paola BattilaniDepartment of Sustainable Crop Production (DI.PRO.VE.S.), Università Cattolica del Sacro Cuore, 29122 Piacenza, Italy.ORCID 0000-0003-1287-1711

Funding

European Union under the Italian National Recov- 281 ery and Resilience Plan (NRRP) of Next-GenerationEU Agritech National Research 282 Center (NRRP - Mission 4 Component 2, Investment 1.4 - D.D. 1032 17/06/2022, CN00000022)European Union under the Italian National Recov- 281 ery and Resilience Plan (NRRP) of Next-GenerationEU NRRP - Mission 4, Component 2, Investment 1.3, CUP 284 E13C22001870001, PE00000001 - program "RESTART"
6 · The paper itself

Abstract

The paper presents a double-radio wireless multimedia sensor node (WMSN) with a camera on board, designed for plant proximal monitoring. Camera sensor nodes represent an effective solution to monitor the crop at the leaf or fruit scale, with details that cannot be retrieved with the same precision through satellites or unnamed aerial vehicles (UAVs). From the technological point of view, WMSNs are characterized by very different requirements, compared to standard wireless sensor nodes; in particular, the network data rate results in higher energy consumption and incompatibility with the usage of battery-powered devices. Avoiding energy harvesters allows for device miniaturization and, consequently, application flexibility, even for small plants. To do this, the proposed node has been implemented with two radios, with different roles. A GPRS modem has been exclusively implemented for image transmission, while all other tasks, including node monitoring and camera control, are performed by a LoRaWAN class A end-node that connects every 10 min. Via the LoRaWAN downlink, it is possible to efficiently control the camera settings; the shooting times and periodicity, according to weather conditions; the eventual farming operations; the crop growth stages and the season. The node energy consumption has been verified in the laboratory and in the field, showing that it is possible to acquire one picture per day for more than eight months without any energy harvester, opening up further possible implementations for disease detection and production optimization.

Indexed as

2.5G mobilecamera wireless nodesenergy efficient multimedia nodesGPRSIoTLoRaLoRaWANLP-WANplant disease monitoringplant proximal monitoringsmart agriculturewireless multimedia sensor networks

Identifiers

PMID39771822
PMCPMC11679160

What OpenQuestion holds

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LicenceCC BY
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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.