705: Feeding the World with ML-Powered Precision Agriculture
Super Data Science: ML & AI Podcast with Jon Krohn
00:00
Evolution from Statistics to Data Science in Computational Agronomy
This chapter explores the transition from statistics to data science in agriculture, focusing on the application of machine learning and machine vision algorithms to automate tasks, optimize yield, manage soil, and maintain plant health. The discussion also includes the use of satellite imagery and sensing for field monitoring and predictions of potential future innovations in the field.
Transcript
Play full episode
