Propensity to Use an Aerial Data Collection Device in Agricultural Research Book Chapter

Propensity to Use an Aerial Data Collection Device in…

The access to information as a success factor in areas of human activity gains relevance with the intensive adoption of ICT. An important sector such as agriculture cannot be left out of this phenomenon.

The results obtained in agricultural research show an increasing dependence on the intensive use of data, with a bigger volume and variety, origin in different environments, and through different technologies.

The objective of this study is to categorize the possibilities of using Aerial Data Collection Device described in agriculture academic studies, to understand how these devices are being used in research carried out by Brazilian universities.

The research is limited to the results of the thesis and dissertations between the years 2015 and 2017, considering the graduate programs of the USP, UNICAMP, and UNESP. Five categories were defined regarding the propensity for the use of Aerial Data Collection Devices: Soil Diagnosis, Plant Diagnosis, Management of Grazing Areas, Crop Management, and Hydrographic Monitoring.

It was identified that more research is needed to reflect on how science can help its application in this strategic productive sector.

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Translate Data Term to everyday

Data, data, and more data. Data from all sides, news, opinions, decisions, and even when we try to build a perception of the most different issues, data are used to support the main concepts involved.

The participation of data in our daily lives is not new. We have always relied on them to establish our perception of the world and the construction of opinions and decision making. However, more and more available, data became part of everyone’s daily life and in all spheres of action. Every day we are put in contact with information based on data and, with them gaining increasing prominence, we are impelled to try to understand what it is about. But it is not always an easy task, there are many ‘DATA-something- something’ defining concepts that contain other concepts related to what we can do with the data.

This flood of citations to the term ‘DATA’ has been growing exponentially: there are posts, news, articles, books, and everyone bringing ‘DATA-something-something’ as if everyone had an obligation to know the meaning of these concepts.

Many of these concepts come from real situations and result from factors that technological advances provide, while others are defined by companies (the so famous buzzwords). One issue that emerges from this scenario is that often used as a sales pitch, these concepts end up receiving connotations that overlap with the denoting senses.

In this sense, a selection of concepts that permeate the question of data is presented, especially those that have a direct relation to the use of data in digital informational environments. The concepts were selected based on the criterion of a greater presence in publications, especially books, and, in the end, we present an example of using data to illustrate exactly this question of the presence of the term ‘DATA’ in books. It is worth remembering that they are simplified definitions of each of the concepts, and that they aimed at an overview of each term, but that allows the reader to position himself when he finds the so-called ‘DATA-something-something’.

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Black Mirror Nosedive screeshot. Copyright to Black Mirror. Book Chapter

Science Fiction and Reality of Data Collecting in Online…

The goal of this study was to relate a science fiction narrative to the current context of Data Collection in OSNS – Online Social Network Services, aiming to build a perception of adherence between the imagined and the real.

An exploratory and descriptive methodology was adopted, with a qualitative and quantitative approach, with a method composed of an exploratory analysis of existing SRSO personal data collecting processes and a descriptive analysis of the form of personal data collecting identified in the sequences from a narrative of an audiovisual production.

The research universe was delimited to the SRSO to data collecting of Facebook, Twitter, and LinkedIn, with the sample composed by the episode Nosedive, part of the Black Mirror series.

For the découpage process of the sequences from the episode, it was identified characteristics referring to the data collection interfaces from OSNS, to filter the elements related to the theme in the sequences content.

The results confirmed the relationship between aspects of the OSNS data collection processes analyzed, with 7 similarities.

Diagram of Entity Relationship Model developed for data collecting. Copyright Fernando de Assis Rodrigues. Book Chapter

Identifying semantic characteristics of user interaction datasets through application…

In an evaluation of a decision, the analyzed fact need to receive inputs from multiple data sources – structuring, integrating, storing, and processing collected data into an output that supports a better understanding of the fact from data, allowing new dimensions of analysis.

The goal of this study is to identify the semantics characteristics of data attributes at the moment of collecting, from dataset’s structures found on data export interfaces on user’s interactions analysis tools, on Internet communication channels, and on web analytics data tools involved in a scientific journal management, through an application of a process of data analysis and data modeling techniques.

The research was delimited to exportable dataset’s available in interfaces from Open Journal Systems, Google Analytics, and Search Console, Twitter Analytics, and Facebook Insights.

It was adopted an exploratory analysis methodology to identify characteristics about how data are available and structured on these data resources. Entity-Relationship Modeling concepts were applied to design and to store data collected from the services, resources, datasets, and attributes.

Also, the collected data was processed into another data structure, adopting the online analytical processing cube as a three-dimensional representation of elements, acting as perspectives of analysis.

This data analysis identified semantic dissonances on definitions of attributes on entities, that may interfering with the development process of relationships between attributes from different datasets, decreasing the potential of interoperability.

Keywords: Data Analysis. Data Collecting. Data. Online Social Networks. User data.

Authors

  1. Fernando de Assis Rodrigues
  2. Pedro Henrique Santos Bisi
  3. Ricardo César Gonçalves Sant’Ana

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  2. Research Gate