Data pipeline for managing field experiments

Liu, Jian; Cichota, Rogerio; Langer, Stephanie; Burgueño, Eric; Michel, A. J.

doi:10.1016/j.mex.2023.102031

Cited by 2 publications

(2 citation statements)

References 12 publications

(19 reference statements)

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“…Particularly, the ever-increasing volume and variety of data necessi- tate the deployment of easy-to-use solutions to analyze data comprehensively. This requires the integration of efficient tools that cater to the technical demands of several disciplines and requirements for various stages of data processing such as the gathering of data, cleaning of data, analysis, and visualization [12] . These increases in data processing demands constitute a challenge [16] , especially since extrapolating patterns and visualizing large data sets is becoming more difficult [ 3 , 8 , 12 , 13 ] due to the ever-increasing complexity of generated data.…”

Section: Introductionmentioning

confidence: 99%

“…This requires the integration of efficient tools that cater to the technical demands of several disciplines and requirements for various stages of data processing such as the gathering of data, cleaning of data, analysis, and visualization [12] . These increases in data processing demands constitute a challenge [16] , especially since extrapolating patterns and visualizing large data sets is becoming more difficult [ 3 , 8 , 12 , 13 ] due to the ever-increasing complexity of generated data. Thus, visualization tools to draw inferences from such data are highly sought after in view of the need for quality decision-making.…”

Section: Introductionmentioning

confidence: 99%

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