Multi-cloud environments integrated with various Internet of Things (IoT) have resulted in a diverse range of observational instruments that can be used and adapted for various use cases. An important role of these observational instruments in scientific research is to provide valuable data that can be understood and help solve practical problems. The evolution of FLOTO, an observational instrument initially designed for bandwidth measurement, has led to its adaptation for diverse multi-sensor applications. Leveraging its support for mainstream Single Board Computers (SBCs), it facilitates the deployment and operation of scientific instruments that enable data collection and sharing among different user groups. This paper explores the transition of FLOTO from its original purpose to IBIS an infrastructure management framework capable of integrating multi-sensor technologies, including environmental sensors and cameras for data acquisition and analysis. IBIS, inspired and named after the perceptive bird known for its keen eyesight, embodies the essence of a multi-sensor observational instrument designed for scientific discovery. We present a reference operation example that provides practical insights into implementing IBIS-based instruments for optimizing greenhouse environments with precision agriculture. Furthermore, we showcase how this application can be seamlessly integrated into the IBIS framework, allowing users to deploy and operate varied instruments in diverse environments. Lastly, this work provides guidelines for reproducibility, contributing to IBIS’ documentation and fostering community accessibility.