Questão FC170958
In the 20th century, we made tremendous advances in discovering fundamental principles in different scientific disciplines that created major breakthroughs in management and techno
Questões sem classificação de assunto
CEBRASPE (CESPE) · 2025
The environmental consciousness of the general public is requiring us to modify farm management to protect water, air, and soil quality, while staying economically profitable. At the same time, market-based global competition in agricultural products is challenging economic viability of the traditional agricultural systems, and requires the development of new and dynamic production systems. Fortunately, the new electronic technologies can provide us a vast amount of real-time information about crop conditions and near-term weather via remote sensing by satellites or ground-based instruments and the Internet, that can be utilized to develop a whole new level of management. However, we need the means to capture and make sense of this vast amount of site-specific data.
Our customers, the agricultural producers, are asking for a quicker transfer of research results in an integrated usable form for site-specific management. Such a request can only be met with system models, because system models are indeed the integration and quantification of current knowledge based on fundamental principles and laws. Models enhance understanding of data taken under certain conditions and help extrapolate their applications to other conditions and locations.
The use of “However”, in the last sentence of the second paragraph, helps to indicate that the vast amount of data that technology can provide is not enough to meet the needs of agricultural producers.
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Comentário: A afirmação está correta porque a palavra "However" é utilizada para introduzir uma ideia contrastante em relação à informação anterior. No contexto, enquanto a tecnologia fornece uma grande quantidade de dados em tempo real sobre condições agrícolas, a utilização desses dados sozinha não é suficiente para atender às necessidades dos produtores. Isso sugere que, apesar do avanço tecnológico, ainda é necessário desenvolver modelos de sistema que integrem e interpretem esses dados de maneira eficaz, mostrando que a simples disponibilidade de informações não resolve os desafios enfrentados na agricultura.
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