Prof. Maria Teresa Godinho
Instituto Politécnico de Beja, Portugal
Title: Remote Sensing Data in the Definition of Management Zones in Precision Agriculture
Abstarct: Specific-site management (SSM) is the management of agricultural crops at a spatial scale smaller than that of the whole field. SSM techniques are relatively new in agriculture – its implementation, in the 1980’s, begun as a response to the need to control costs in large scale mechanized agriculture. Since then, its focus has evolved and now SSM techniques are also recognized and recommended for their contribution to a sustainable agricultural that does not marginalize profit. Specific-site management methods require withinfield spatial variability to be identified and measured. The problem of identifying and delineating areas with different properties is designated as the management zone delineation problem (MZsP).
This talk addresses the Management Zone Delineation Problem. Namely, we show how to use remote sensing data to delineate management zones through triclustering techniques. In our algorithm, these techniques are applied to mine spatio- temporal clusters from time series of remote sensing data. Then, each cluster represents a behavior pattern for a particular subset of spatio coordinates through a specific set of times. The temporal component of this analysis permits MZs dynamics to be characterized within timeframes in the growing season.
Data from maize and vineyard crops in Alentejo have been used to assess the suitability and accuracy of the algorithm with good results.
Bio: Maria Teresa Godinho completed her PhD in Statistics and Operational Research in 2011 at the University of Lisbon. She is an Adjunct Professor at the Polytechnic Institute of Beja in Portugal - Department of Mathematics and Physical Sciences and is a member of the Center for Mathematical Studies of the University of Lisbon.
She works manly in the area of Operations Research with an emphasis on the study of models in integer linear programming and mixed integer linear programming for optimization problems in networks. More recently, she has been involved in studying big data analytics methods together with people from the
Data Science & Big Data Lab (Seville, Spain).