705: Feeding the World with ML-Powered Precision Agriculture
Super Data Science: ML & AI Podcast with Jon Krohn
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Data Science and Machine Learning in Agriculture
The chapter delves into the crucial role of data science and machine learning in transforming agriculture for a sustainable future, emphasizing on improving food security and sustainability through technology. Discussions highlight the utilization of these technologies in precision agriculture to address challenges such as feeding the growing global population, reducing carbon emissions, and increasing productivity while maintaining food security. It explores the concept of precision agriculture, which tailors farming practices to the specific needs of different areas of a field, focusing on spatial, temporal, and genetic precision.
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