Ali Moghimi
Description: Ali Moghimi, assistant professor of teaching in remote sensing and AI applications for precision and digital agriculture at UC Davis. He is also the master faculty advisor for the new agricultural and environmental technology major, which aims to prepare students to integrate new technologies like AI to solve the problems of food and energy sustainability. In this episode we talk about the applications of drones and other advanced technologies in agriculture, the basic methodology of machine learning, and uses of AI for higher education grading
Websites: Ali Moghimi
Publications:
Drone Use for Plant Phenotyping
Favorite Book:
The Brothers Karamazov by Fyodor Dostoevsky
Resources:
Agricultural and Environmental Technology Major
Show Notes:
[01:10] Introduction, his story and what got him interested in drones
[04:30] How drones are used in Agriculture
[06:50] The next evolution of drone technology
[08:20] How he uses AI in his research
[13:00] How he trains AI on datasets
[14:40] The relationships between AI, Machine Learning, & Deep Learning
[15:30] Can AI create new ideas?
[17:20] How is agriculture is becoming more technologically advanced
[23:40] How to apply these new technologies in a sustainable way
[26:15] What is precision agriculture and digital agriculture?
[29:30] How advanced is agriculture at the moment
[31:00] Where in the farming cycle is digital agriculture most important
[34:30] His research: an AI grading project and a wildfire prevention program, drone technology
[37:30] More details about the AI grading
[43:00] What is a language learning model and how can biases be present?
[46:00] More details about his wildfire research
[52:15] Addressing concerns with AI
[1:00:00] Advice to students and the new major - Agricultural & Environmental Technology