In pursuit of responsible innovation for precision agriculture technologies
In pursuit of responsible innovation for precision agriculture technologies
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DOI：
10.1080/23299460.2022.2071668
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发表时间：
2022-05-21
影响因子：
3.9
通讯作者：
Ogunyiola, Ayorinde
中科院分区：
文献类型：
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作者：
Gardezi, Maaz;Adereti, Damilola Tobiloba;Ogunyiola, Ayorinde
农业决策支持系统（DSSs）是一种硬件和软件工具，它利用从卫星和无人机、地面传感器收集的大数据，并通过机器学习算法进行分析，提供特定地点的农业建议。尽管DSSs有望解决农业经济的许多挑战，但仍有一些社会和伦理问题需要解决。利用由焦点小组讨论和后续调查问卷组成的混合方法，我们强调了来自佛蒙特州和南达科他州的异质食品系统参与者的经验和影响。研究发现，农业发展支持系统改变了农业知识生产，重新配置了劳动力安排，并在农民之间分配了利益和负担。我们建议农业技术开发人员在重新设计DSSs时实施包容性和审慎的过程，以实现对粮食生产系统的道德、公平和可持续的改进。开放审议的包容性进程是负责任的创新方式，其任务是减轻社会技术系统内的摩擦。
Agricultural decision support systems (DSSs) are hardware and software tools that utilize big data collected from satellites and drones, ground-based sensors, and analyzed with machine learning algorithms to provide site-specific farming recommendations. Despite the promise of DSSs to address many challenges of the farm economy, there are social and ethical concerns that need to be addressed. Utilizing a mixed-methods approach that consisted of focus group discussions and a follow-up survey questionnaire, we highlight the experiences and affectations of heterogeneous food system actors from Vermont and South Dakota. We find that DSSs transform agricultural knowledge production, reconfigure labor arrangements and unevenly distribute benefits and burdens among farmers. We suggest that agritech developers implement inclusive and deliberative processes when redesigning DSSs to engender ethical, equitable and sustainable improvements to food production systems. Inclusive processes of open deliberation are modalities of responsible innovation, tasked with mitigating frictions within socio-technical systems.