Precision agriculture (PA) is restructuring farmer livelihoods and identities through a panoply of technologies that generate and process big data to influence agricultural practices. In this paper, we ask the question: How does algorithmic rationality impact farmers' trust in PA? We focus on the modalities of power wielded by agritech firms through PA that socially construct a form of moralistic trust, the politics of knowledge and knowledgeability, and the internalization of new social identities. This research study utilized a mixed methods approach that included focus groups and follow-up surveys with social actors along the PA value chain. We found that agritech firms have successfully positioned their knowledge products as superior to farmers' experiential knowledge, thereby ensuring farmers’ sustained engagement with PA technologies for the purposes of data capture and capital accumulation. Farmers internalize the algorithmic rationality of PA and position themselves along a moral register through governmentalized actions that ostensibly demonstrate moralistic trust in the system. This process has the effect of transforming social identities, interpellating farmers as the architects of their own alienation. Agritech is increasingly adept at digitally abstracting farm knowledge away from farmers. PA is a battleground wherein the politics of agrarian knowledge are contested.

精准农业（PA）通过一系列产生和处理大数据以影响农业实践的技术，正在改变农民的生计和身份。在本文中，我们提出一个问题：算法合理性如何影响农民对PA的信任？我们关注农业技术公司通过巴勒斯坦权力机构所拥有的权力模式，这些权力模式在社会上构建了一种道德信任形式，知识政治和知识政治以及新的社会身份的内部化。这项研究采用了一种混合方法方法，其中包括焦点小组和对巴勒斯坦权力机构价值链上的社会行为者的后续调查。我们发现，农业技术公司已经成功地将其知识产品定位为优于农民的经验知识，从而确保了农民为获取数据和积累资本而持续使用PA技术。农民将PA的算法合理性内在化，并通过表面上表现出对系统的道德信任的政府化行动，将自己置于道德教义上。这个过程具有改变社会身份的作用，使农民成为自己疏远的建筑师。Agritech越来越擅长从农民那里数字化地提取农业知识。PA是争夺农业知识政治的战场。