Our analysis reveals a critical issue with the CONDES group's IoT engineering. For every two peak sensor readings, there's one probability and one timeliness error. This pattern indicates a systemic problem affecting data quality and reliability. Continuing to rely on this team jeopardizes product efficacy and safety. Urgent action is needed to address the root cause of these errors, improve IoT engineering practices, and mitigate potential risks.

"This presentation will demonstrate that the quantile distribution of the readings is likely not exponential due to significant errors in the datasets. These errors can be attributed to the failure of CONDE engineers and contractors to properly engineer the sensors. Conducting experiments during active business operations is highly detrimental. Consequently, management must prioritize the perfection of IoT engineering as their investment is at risk, not CONDE's."

As we progressed with our analysis, we realized that CONDES and the other IT engineers failed to meet the expected output from their sensors. The presentation reveals errors in the Data Quality (DQ) and statistics of the sensor readings. Such results are highly unlikely according to engineering theory and could potentially lead to mortality in the products these sensors are meant to serve. This situation underscores the need to replace these sensors. While sensors can be accurate in ideal conditions, various factors can affect their performance, especially in vertical farming applications. Given the current erroneous data, the situation becomes even more critical. If we aim for accuracy, which is crucial in this context, we must replace these faulty sensors with properly engineered alternatives. This task should be entrusted to accredited professionals rather than experimentalists who often fall short of the required standards. By doing so, we can ensure the reliability and precision necessary for successful vertical farming operations.

The Plotly visualization unequivocally demonstrates exceptional data quality within the reading. The dataset presents a remarkably smooth profile, indicative of a meticulously engineered IoT environment tailored for vertical farming. The engineers behind this system have exhibited commendable diligence by integrating state-of-the-art IoT devices. This harmonious interplay of technology and agriculture is a testament to their commitment to precision and efficiency.