Data in Agriculture
Agriculture is evolving into a data-driven industry, with data science acting as the crucial missing piece in the quest for food security. As the global population surges towards 10 billion by 2050, the need to optimize yield without expanding agricultural land becomes paramount. Addressing climate change and reducing carbon emissions from food-related activities are also critical challenges that data science and machine learning can help tackle.In this clip
From this podcast
Super Data Science: ML & AI Podcast with Jon Krohn
705: ML-Powered Precision Agriculture — with Feroz Sheikh, Jeremy Groeteke, and Thomas Jung
Related Questions