Future agricultural policies need to integrate biodiversity targets into smart farming

Smart farming (SF), the use of advanced technologies such as sensors, the Internet of Things (IoT), artificial intelligence (AI), data analytics, and automation, holds great promise for increasing agricultural sustainability as it enables a reduction of inputs while maintaining yield. A general assumption is that biodiversity will benefit from reduced synthetic inputs. We argue that biodiversity benefits will not come automatically, especially within agricultural fields. Rather, technological developments need to embrace ecological targets during future innovations. Done right, with a new framework that integrates ecological and agronomic objectives in decision-making algorithms, SF could restore biodiversity in agricultural landscapes of the Global North, and preserve it in the Global South, while closing the yield gap. However, making agriculture more biodiversity-friendly through SF requires a more interdisciplinary research by scientists, targeted research funding schemes, incentives for the application of these technologies, and supporting strong national and international policies that drive widespread and equitable adoption.

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Publication Details

Journal
npj Sustainable Agriculture
Published
2026-03-03
DOI
https://doi.org/10.1038/s44264-026-00133-0
Primary Topic
Smart Agriculture and AI
Type
article
Field-Weighted Citation Impact
0.00

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article

Future agricultural policies need to integrate biodiversity targets into smart farming

Rafael Achury, Sebastian T. Meyer, Wolfgang W. Weisser, Robin Heinen
npj Sustainable Agriculture
Smart Agriculture and AI
article

Future agricultural policies need to integrate biodiversity targets into smart farming

Rafael Achury, Sebastian T. Meyer, Wolfgang W. Weisser, Robin Heinen
article en

Abstract

Smart farming (SF), the use of advanced technologies such as sensors, the Internet of Things (IoT), artificial intelligence (AI), data analytics, and automation, holds great promise for increasing agricultural sustainability as it enables a reduction of inputs while maintaining yield. A general assumption is that biodiversity will benefit from reduced synthetic inputs. We argue that biodiversity benefits will not come automatically, especially within agricultural fields. Rather, technological developments need to embrace ecological targets during future innovations. Done right, with a new framework that integrates ecological and agronomic objectives in decision-making algorithms, SF could restore biodiversity in agricultural landscapes of the Global North, and preserve it in the Global South, while closing the yield gap. However, making agriculture more biodiversity-friendly through SF requires a more interdisciplinary research by scientists, targeted research funding schemes, incentives for the application of these technologies, and supporting strong national and international policies that drive widespread and equitable adoption.

npj Sustainable AgricultureVol. 4(1)
Leibniz-Institute for Food Systems Biology at the Technical University of Munich (DE), Technical University of Munich (DE)
Deutsche Forschungsgemeinschaft, Technische Universität München
Zero hunger
Openalex Percentile: Top 37%
Smart Agriculture and AI
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Future agricultural policies need to integrate biodiversity targets into smart farming — Rafael Achury, Sebastian T. Meyer, et al. · npj Sustainable Agriculture (2026) | TGRS Research Map | TGRS