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Question
Asked 21 July 2024

How can artificial intelligence be leveraged to enhance the accuracy and efficiency of climate change impact predictions on agricultural productivity?

This question seeks to explore the role of artificial intelligence in improving the prediction models for climate change impacts on agriculture. It aims to understand how AI technologies, such as machine learning and data analytics, can be utilized to analyze vast amounts of climate data, soil conditions, and crop yields to provide more accurate and timely predictions. The discussion could also cover the potential benefits of these AI-driven predictions for farmers, policymakers, and researchers in developing strategies to mitigate the adverse effects of climate change on agriculture. This topic is crucial for ensuring food security and sustainable agricultural practices in the face of changing climate conditions.
Mohammed Ahmed
Baghdad University College of Science
Artificial intelligence can be used by measuring changes in temperature, air humidity, lack of soil moisture, and lack of watering of plants, which affects the accuracy and efficiency of predictions.
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