Technological and Socio-Economic Challenges in the Development of Sensors for Precision Agriculture

Field-deployable sensors play an important role in precision agriculture and are used to enable key stakeholders (farmers, agronomists, policy makers, etc.) to make informed decisions about resource management and improve crop yields. Sensor developers must consider technological, economic, and human aspects jointly in order to design a successful sensor. The objective of this review is to describe some of the key strands of each aspect and highlight the need to develop a degree of understanding of all of these aspects in order to create technologies that will be easily and readily adopted. Rather than analyzing each area in depth, we limit our discussion to a few major aspects and try to indicate interdependency and showcase their impact on one another. We hope that this approach will instigate thoughts and ideas and stimulate the co-creation of fit-for-purpose sensors.

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Publication Details

Journal
Agriculture
Published
2025-12-30
DOI
https://doi.org/10.3390/agriculture16010089
Citations
1
Primary Topic
Smart Agriculture and AI
Type
article
Field-Weighted Citation Impact
1.75
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Technological and Socio-Economic Challenges in the Development of Sensors for Precision Agriculture

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Technological and Socio-Economic Challenges in the Development of Sensors for Precision Agriculture

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article en
1 citations

Abstract

Field-deployable sensors play an important role in precision agriculture and are used to enable key stakeholders (farmers, agronomists, policy makers, etc.) to make informed decisions about resource management and improve crop yields. Sensor developers must consider technological, economic, and human aspects jointly in order to design a successful sensor. The objective of this review is to describe some of the key strands of each aspect and highlight the need to develop a degree of understanding of all of these aspects in order to create technologies that will be easily and readily adopted. Rather than analyzing each area in depth, we limit our discussion to a few major aspects and try to indicate interdependency and showcase their impact on one another. We hope that this approach will instigate thoughts and ideas and stimulate the co-creation of fit-for-purpose sensors.

AgricultureVol. 16(1)
University of Lincoln (GB), University of Birmingham (GB), Teesside University (GB)
Zero hunger
Openalex Percentile: Top 10%
Smart Agriculture and AI
1.75
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