Answer: The great increase in production of food grains (such as rice and wheat) due to the introduction of high-yielding varieties, to the use of pesticides, and to better management techniques.
Explanation: Therefore, the reason why it was called green revolution is because The Green Revolution was a period when the productivity of global agriculture increased drastically as a result of new advances. These new farming techniques and advances in agricultural technology were utilized by farmers all over the world, and when combined, intensified the results of the Green Revolution.
<u>As Eric watches a video for his class, he is aware that what he is taking in is passing through the brain–mind interface, which consists of four filters – Sequence, Precision, Technical Reasoning, and Confluence. Eric has learned that</u> the four filters are unique to each individual with regard to how they are used. These filters are learning patterns of the brain-mind interface that occur in a specific order: Sequence, precision, technical reasoning and confluence.
<em>The patterned processes that operate as a filter of stimuli passing from the brain to the mind are known as brain-mind interface. These filters welcome and limit the movement of stimuli as they seek to enter the working memory, where they are stored for later use.</em>
Answer:
B
Explanation:
the founding documents for the United States relied on a lot of enlightenment ideas
Answer:
Please put the sentence so that I can answer.
Explanation:
Because, without a sentence how is one to answer a question missing pieces of information?
A Temporal Investigation of Crash Severity Factors in Worker-Involved Work Zone Crashes: Random Parameters and Machine Learning Approaches:
Reason:
In the context of work zone safety, worker presence and its impact on crash severity has been less explored. Moreover, there is a lack of research on contributing factors by time-of-day. To accomplish this, first a mixed logit model was used to determine statistically significant crash severity contributing factors and their effects. Significant factors in both models included work-zone-specific characteristics and crash-specific characteristics, where environmental characteristics were only significant in the daytime model. In addition, results from parameter transferability test provided evidence that daytime and nighttime crashes need to be modeled separately. Further, to explore the nonlinear relationship between crash severity levels and time-of-day, as well as compare the effects of variables to that of the logit model and assess prediction performance, a Support Vector Machines (SVM)
What is meant by machine learning approach?
Machine Learning is an AI technique that teaches computers to learn from experience. Machine learning algorithms use computational methods to “learn” information directly from data without relying on a predetermined equation as a model.
Learn more about random parameter approach:
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