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A Data Visualization, Analysis, and Decision-Making Support Tool for Precision Agriculture

Part of a UC Davis Funded Study


In this study we focus on data analysis, visualization, and outcome of a decision Data-Visualizationmaking system for precision agriculture.Data-Vizualization-Light-Absorption The data was collected at UC Davis where a mule was used to collect photosynthetically active radiation (PAR) data, or sunlight penetration, through an entire row in an orchard. A 2D and a 3D graph of the photosynthetically active radiation (PAR) data was created with three open source tools: RapidMiner, GeoTools, and Jzy3d. To ensure data integrity, several steps involving data conversion and data interpolation were incorporated into the process to ensure that the data was being correctly visualized. The results provide a visualization of the PAR data as multiple layers on the same graph, giving farmers reference points to help them better estimate tree canopy structure for better pruning management, allowing subsequently higher yield potential, and better fruit quality.


If you would like more information about this topic or other developments in agriculture, contact Dr. Qin Zhang