Feb. 16, 2024, 5:42 a.m. | Cangqing Wang

cs.LG updates on arXiv.org arxiv.org

arXiv:2402.09488v1 Announce Type: cross
Abstract: This study endeavors to conceptualize and execute a sophisticated agricultural greenhouse control system grounded in the amalgamation of the Internet of Things (IoT) and machine learning. Through meticulous monitoring of intrinsic environmental parameters within the greenhouse and the integration of machine learning algorithms, the conditions within the greenhouse are aptly modulated. The envisaged outcome is an enhancement in crop growth efficiency and yield, accompanied by a reduction in resource wastage. In the backdrop of escalating …

abstract arxiv control cs.lg cs.sy eess.sy environmental greenhouse integration intelligent internet internet of things intrinsic iot machine machine learning monitoring parameters study through type

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