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So we are talking about the same thing. AI is a fancy Probability Engine that analyzes data, identifies patterns, and makes weighted predictions. The fact it is trying to identify patterns means that if the input into this process varies (inconsistent errors) due to the data collection method or lack of data, much of the value is lost. Simply put, noisy data equals mostly unusable answers. 

Lighthouse Ag teaches customers first to know what they must collect, then to collect the data entirely and consistently and then to worry about using data (AI, BI, reporting). Because of the importance of data collection in the process, Lighthouse Ag chooses cloud-connected automated sensors whenever possible for several reasons.

1)  Cheaper: Over time, a farmer will not get faster, cheaper, or more accurate at filling out paper or digital apps. However, the sensors do all three, reducing the cost per data sample over time.

2)  Easier: Sensors can make data collection transparent, meaning the farm team can focus less on learning and operating data collection tools and more on understanding the results.