While commercial greenhouses are built as architectures to temper (climactic) precarity, this article argues that precarity abounds in the ripening conditions they enfold. Contemporary greenhouses harness the energy of the internet of things, precision agriculture, and artificial intelligence to manage inputs and outputs for optimal growth. Such growth, however, is often premised on the exploitation of racialized and gendered labor, an overlooked "greenhouse effect" of its model of agricultural production. The article examines how, as media, greenhouses compress space and time in the interests of yield, drawing from the vital energy of laborers, largely insourced from the Global South, and plants themselves. It concludes that the diffuse modalities of (human and nonhuman) sensing in the greenhouse nevertheless hold the potential to propose different networks of ripening. Arguing for a method of "non-citizen sensing," the article asks how we might make readable the data derived from the laboring bodies in these spaces and their capacity for sensing precarity.

虽然商业温室是作为缓和（气候）不稳定性的建筑而建造的，但本文认为，它们所包含的成熟条件中充满了不稳定性。当代温室利用物联网、精准农业和人工智能的能量来管理输入和输出以实现最佳增长。然而，这种增长往往以剥削种族化和性别化的劳动力为前提，这是其农业生产模式中被忽视的“温室效应”。这篇文章探讨了如何作为媒体，温室为了产量而压缩空间和时间，从劳动力（主要来自全球南方）和植物本身的生命能量中汲取能量。它的结论是，温室中（人类和非人类）感知的扩散方式仍然有可能提出不同的成熟网络。文章讨论了一种“非公民感知”的方法，询问我们如何才能使从这些空间中的劳动者及其感知不稳定的能力中获得的数据变得可读。