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In pursuit of responsible innovation for precision agriculture technologies

Maaz Gardezi, Damilola Tobiloba Adereti, Ryan Stock, Ayorinde Ogunyiola · 2022 · Journal of Responsible Innovation

Summary. Agricultural decision support systems using satellite data, drones, and machine learning reshape how farms operate, but create uneven benefits and risks. Research with farmers in Vermont and South Dakota reveals these technologies transform knowledge production, change labor arrangements, and distribute advantages unevenly. Developers must adopt inclusive deliberative processes when designing these systems to ensure ethical, equitable, and sustainable outcomes.

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Gardezi, M., Adereti, D. T., Stock, R., & Ogunyiola, A.. (2022). In pursuit of responsible innovation for precision agriculture technologies. Journal of Responsible Innovation. https://doi.org/10.1080/23299460.2022.2071668

Details

DOI
10.1080/23299460.2022.2071668
Countries
United States
Regions
North America
Categories
agtech, innovation-theory, food-systems
Added
2026-04-28