Tesis y Tesistas 2020 - Postgrado - Fac. de Informática - UNLP

especialización
Ingeniería de Software
Esp. Javier Ernesto Matarrese
e-mail
jmatarrese@gmail.com
english
Advisor
Dr. Alejandro Fernández
Thesis defense date
September 21, 2020
SEDICI
http://sedici.unlp.edu.ar/handle/10915/110802
Exploring Agro Informatics, IoT,
Big Data and Knowledge
Extraction confluence
Keywords: Agroinformatics; Agricultural Informatics; Agro ICT; Precision agriculture; Smart Farm; IoT; Big Data; Machine Learning
Motivation
Agriculture is a source of food, of exchange goods
at national and international level, and of incomes
through taxes for governments, among other things.
Improving this sector performance requires resources
and innovation, in order to increase access to new
markets and enhance productive capacity. Traditionally,
infrastructure and labor were considered the engines
of agricultural progress, however, a few years ago the
vital importance of information (hand in hand with
ICTs) was seen as motor of growth and expansion of the
agricultural sector.
In this context, present work is developed, which aims to:
• Make a compendium of the state of the art of the main
topics: Internet of things (IoT), Big Data, Knowledge
extraction and Agroinformatics
• Explore the intersection of each of the mentioned topics
state of the art with the focus on the applications in Agro.
Naming, in this way, some of the lines of work currently
being explored, as well as potentials to be explored.
environment constraints (connectivity, energy use).
• Open platforms, inter actors cooperation and open data
• Data fusion on unstructured data.
• Unbalance between data collection and monitoring
systems vs. actuation and remote control systems.
• Autonomous farming systems.
• Analysis, decision support and automation systems in
greenhouses.
• Risk management systems.
Thesis Final Work contrinutions
The contribution of the paper is a review of the state
of the art of topical internet of things (IoT), Big Data,
knowledge extraction and agro informatics as well as
some thoughts on the confluence of these topics.
Future Research Lines
• Security and privacy conserns on the IoT and Big Data
application
• Sintactic and semantic interoperativity
• Techniques that allow overcoming the application’s
135 TESIS Y TESISTAS 2020