Published April 4, 2022
| Version v1
Publication
Discovering Spatio-Temporal Patterns in Precision Agriculture Based on Triclustering
Description
Agriculture has undergone some very important changes over
the last few decades. The emergence and evolution of precision agri culture has allowed to move from the uniform site management to the
site-specific management, with both economic and environmental advan tages. However, to be implemented effectively, site-specific management
requires within-field spatial variability to be well-known and character ized. In this paper, an algorithm that delineates within-field management
zones in a maize plantation is introduced. The algorithm, based on tri clustering, mines clusters from temporal remote sensing data. Data from
maize crops in Alentejo, Portugal, have been used to assess the suit ability of applying triclustering to discover patterns over time, that may
eventually help farmers to improve their harvests.
Abstract
Ministerio de Economía y Competitividad TIN2017-88209-C2Abstract
Fundaçao para a Ciéncia e a Tecnologia (FCT) UIDB/04561/2020Additional details
Identifiers
- URL
- https://idus.us.es/handle//11441/131704
- URN
- urn:oai:idus.us.es:11441/131704