Making plant pathology algorithmically recognizable

Cornelius Heimstädt ()
Additional contact information
Cornelius Heimstädt: Centre de Sociologie de l’Innovation Mines Paris - PSL - CNRS UMR 9217

Agriculture and Human Values, 2023, vol. 40, issue 3, No 6, 865-878

Abstract: Abstract This article examines the construction of image recognition algorithms for the classification of plant pathology problems. Rooted in science and technology studies research on the effects of agricultural big data and agricultural algorithms, the study ethnographically examines how algorithms for the recognition of plant pathology are made. To do this, the article looks at the case of a German agtech startup developing image recognition algorithms for an app that aims to help small-scale farmers diagnose plant damages based on digital images of their symptoms. The study posits that the construction of these algorithms can be grasped as a succession of layers, at each of which the startup’s employees carry out different selection practices. It is argued that these practices gradually inscribe a selective recognition of the phenomenon of plant pathology into the algorithms of the app. This selective recognition is reflected in the fact that the emerging algorithms are effective in identifying isolated plant damages on isolated crops, while ignoring most agroecosystem-related actors and relations through which plant damages arise. The article concludes that the app’s selective recognition of plant pathology is likely to perpetuate or even exacerbate the pesticide use of its users. This is because the app’s view of plant pathology as a phenomenon comprised of isolated plant damages on isolated crops is more compatible with the use of chemical pesticides than with approaches to crop protection that strive for a more moderate use of these substances (e.g., integrated pest management, agroecology, organic agriculture).

Keywords: Algorithms; Big data; Selection; Plant pathology; Digital agriculture (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s10460-023-10419-5 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:agrhuv:v:40:y:2023:i:3:d:10.1007_s10460-023-10419-5

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/10460

DOI: 10.1007/s10460-023-10419-5

Access Statistics for this article

Agriculture and Human Values is currently edited by Harvey S. James Jr.

More articles in Agriculture and Human Values from Springer, The Agriculture, Food, & Human Values Society (AFHVS)
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().