Tag Archives: digital agriculture

96–111 D. Manzoni and M. Černič Istenič
Platformised digital agriculture and technostress: implications for psychosocial occupational safety and health
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Platformised digital agriculture and technostress: implications for psychosocial occupational safety and health

D. Manzoni and M. Černič Istenič*

The Research Centre of the Slovenian Academy of Sciences and Arts, Sociomedical Institute, Novi trg 2, SI-1000 Ljubljana, Slovenia
*Correspondence: majda.cernic-istenic@zrc-sazu.si

Abstract:

Digitalisation in agriculture is increasingly structured through platformisation: daily work is mediated by interconnected sensors, dashboards, notification pipelines, and vendor-governed service ecosystems. While automation and data-driven management can reduce physical workload and enable more flexible work organisation, platform-mediated arrangements may also increase psychosocial occupational safety and health (OSH) risks by reshaping temporality, interpretive responsibility, predictability, and practical agency. This article aims to explain how platform-mediated arrangements in digital agriculture generate technostress-related psychosocial OSH demands and to identify design and governance levers that may mitigate these risks in welfare- and time-critical settings. The study presents a theory-guided integrative review (narrative synthesis) using empirical ‘evidence anchors’; it is not a meta-analysis and does not provide pooled effect estimates, prevalence measures, or sector-wide quantitative inference. From a prior systematic review corpus, eleven scholarly sources (2004–2023) – primarily on automatic milking systems and related monitoring infrastructures – were selected and synthesised to identify recurring sociotechnical arrangements. The analysis yields a platform-architecture model linking work reorganisation to technostress appraisals clustered around four patterns: (1) availability pressures under always-on monitoring, (2) interpretive burden under opaque outputs and epistemic asymmetry, (3) constrained agency under proprietary service and update pathways, and (4) intensified self-evaluation under metricised dashboards. Framing technostress as an upstream outcome of platform-mediated work organisation clarifies why psychosocial OSH cannot be addressed through individual adaptation alone: risk depends on how platform design and governance allocate urgency, distribute uncertainty, and shape access to expertise, support, and repair. The article therefore proposes contestability – users’ capacity to inspect, adjust, and stabilise platform mechanisms – as a practical mitigation principle for OSH-sensitive digitalisation.

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1128-1142 J. Horváth, L. Kátai, I. Czinkota and I. Szabó
Using multi-frequency electrical conductivity measurement to determine the selective salinity in a two-component salt solution
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Using multi-frequency electrical conductivity measurement to determine the selective salinity in a two-component salt solution

J. Horváth¹*, L. Kátai², I. Czinkota³ and I. Szabó²

¹Hungarian University of Agriculture and Life Sciences, Doctoral School of Mechanical Engineering, Páter Károly utca 1, HU-2100 Gödöllő, Hungary
²Hungarian University of Agriculture and Life Sciences, Institute of Technology,
Páter Károly utca 1, HU-2100 Gödöllő, Hungary
³Hungarian University of Agriculture and Life Sciences,Institute of Environmental Science, Páter Károly utca 1, HU-2100 Gödöllő, Hungary
*Correspondence: Horvath.Janos.7@phd.uni-mate.hu

Abstract:

Digital technologies can help farmers produce safe, sustainable, high-quality food while contributing to the fight against effects of abiotic and edaphic factors. Due to digitalization, a paradigm shift occurred in agriculture, which boosted sensor technology’s rapid development, especially soil sensors. Using sensors and the digital knowledge of soil properties, farmers can better understand the needs of the fields and cultivated plants on a micro-scale, thereby saving resources and putting less strain on our environment. The relative salinity of our soils is an important aspect because of the impact on production costs and yield. The future of site-specific crop production is moving towards a sensor-based on-the-go measurement approach because obtaining important soil characteristics quickly and cheaply is still one of the biggest challenges in precision agriculture today. Measuring soil electrical conductivity (EC) could offer an opportunity to overcome these limitations if the different salt components of soil could be separated by analytical methods. In our study, we present a calibration model based on conductometry with which the selective potassium and calcium content can be determined in the laboratory under controlled conditions. Solutions containing K+ and Ca2+ cations in the concentration determined in the experimental model were mixed and measured by changing the frequency of the measuring current. In this study, measurements proved that a mathematical relationship can be used to describe the relationship between the composition and concentration of the two-component solution, the measurement frequency and the conductivity. The potassium (K) and calcium (Ca) content of the solution can be separated from each other, and a regression calibration curve can be recorded, from which the proportion of potassium and calcium in the given solution can be determined as a function.

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