ReviewNPJ sustainable agriculture2026
Narrowing farmland biodiversity knowledge gaps with Digital Agriculture.
Review in NPJ sustainable agriculture, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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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.
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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.
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Authors and funding
10 authors.
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Abstract
Digital Agriculture - broadly defined as the use of digital technologies and data to manage and optimize agricultural production systems - holds significant but largely untapped potential for biodiversity monitoring. Both fields share many (semi-)automated data collection technologies, analytical methods and workflows, but remain largely disconnected - and are sometimes even perceived as incompatible - in research, education and practice. Here, we explore how existing data streams from Digital Agriculture can directly contribute with primary biodiversity data required by policy-relevant applications, linking them to the Essential Biodiversity Variables framework. We discuss the benefits of this integration, its challenges, and outline pathways for its adoption with respect to ongoing advances in biodiversity science and policy. This integration could improve the precision of biodiversity conservation in farmland, and accelerate transitions to sustainable agriculture - an urgent priority to safeguard nature and its contribution to people.
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Registered trials
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.