Presentation Type
Invited
Track
Precision Ag/Biological Sciences Application
Abstract
Precision agriculture practices as a data-based agriculture require many types of data. In data side of view, precision agriculture practices can be explained in three steps which are 1) data acquisition, 2) data processing, and 3) implementation of final decisions. Producers and agronomists collect data from fields and apply the final decisions to farming. Data scientists need to analyze the big data to make a best decision for maximum benefits. However many different types and formats of data cause difficulties of data analysis. This presentation will talk about types and formats of data that are actually using in precision agriculture practices.
Start Date
2-8-2022 9:50 AM
End Date
2-8-2022 10:50 AM
Session 2: Datasets for Precision Agriculture Practices
Pheasant Room 253 A/B
Precision agriculture practices as a data-based agriculture require many types of data. In data side of view, precision agriculture practices can be explained in three steps which are 1) data acquisition, 2) data processing, and 3) implementation of final decisions. Producers and agronomists collect data from fields and apply the final decisions to farming. Data scientists need to analyze the big data to make a best decision for maximum benefits. However many different types and formats of data cause difficulties of data analysis. This presentation will talk about types and formats of data that are actually using in precision agriculture practices.