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Yield Prediction using AI / Drone Imaging vs. Satellite Images / Farmers' use of AI & Drones

Postdoctoral researcher - Enrique Apolo Apolo

46 min / Published
By Nazerke

Postdoctoral researcher - Enrique Apolo Apolo. Enrique's fields of interest include AI, precision agriculture, proximal plant sensing, satellite imagery, machinery, robotics and electronics. 

Enrique's Ph.D. title is “Development and Assessment of AI models based on deep learning algorithms to determine agronomic traits in fruit tree orchards and field crops.”
Link to discussed Ph.D. thesis in this episode: https://idus.us.es/handle/11441/141305


00:00 Intro
01:02 Academic background (Enrique’s)
02:52 Citrus growing farmers in Spain & Yield prediction with AI
05:14 Measuring key crop parameter with A.I. & Robots
09:14 Learning A.I. from scratch / Drone imaging at Wageningen
13:55 Crop yield or disease prediction by AI & Drones / challenges with Farmers
17:04 Use of mobile phone for RGB imaging / Yield prediction apps
20:34 Drone imaging vs. Satellite images
26:10 Can farmers afford Drone imaging / Market for up-to-date Agro services
29:45 Why Robotics & AI are very advanced in greenhouses, not fields
33:55 Is there less or more use of AI by farmers / Farmers scared of AI?

36:26 Can AI replace humans? How soon?
38:55 “ChatGPT is a good tool, … but it might be a problem for lazy people…”
41:05 “It’s compulsory to have basic knowledge in programming for incoming PhDs…”


PhDs TikTok video Enrique mentions about Brazil:

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