Paper Info
Title
A Spatiotemporal Data Acquisition Toolkit For Volume Estimation Tools In Precision Agriculture
Abstract
A data acquisition system for precision agriculture is presented. The system can collects various time-series data on target plants and their environmental facts. The designed system consists of a server and multiple intra-networked stations and includes a software toolkit that has two independent but synchronized data acquisition processes. The one is for measurements on environmental facts around a target plant and the other is for volume estimation of the target plant adopting multi-view stereo techniques. An analysis on sampling rate and data acquisition experiments for testing purposes were performed. A data filtering method based on the fast Fourier transform is applied to analyze the noise immunity of the collected data. For the volume estimation, three different methods, ie, method-I using 2-D projection on slices, method-II using polyhedrons on voxels, and method-III using enclosed surfaces, were devised to handle various plant types and examined for three different type of target plants. The volume estimation errors were measured in range of 6 similar to 30% in the experiments.
Year
DOI
Venue
2021
10.1002/cpe.5258
CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE
Keywords
DocType
Volume
plant volume estimation, precision agriculture, spatiotemporal data acquisition
Journal
33
Issue
ISSN
Citations 
3
1532-0626
0
PageRank 
References 
Authors
0.34
0
2
Name
Order
Citations
PageRank
Seong H. Lee192.52
Jaehwa Park2659.50