ML for crop prediction models

[Audio] Hi all, in this presentation, we are going to talk about machine learning applications for crop prediction models. My name is Sebastiaan Verbesselt, researcher in precision agriculture at ILVO and I will be replaced in this video today by an AI avatar who will hopefully convey the presentation comprehensibly..

[Audio] Here is a quick overview of the topics we are going to discuss today. First a general introduction of artificial intelligence, machine learning and deep learning. Than we are going to explain how different sensors and platforms can be used to collect data for crop monitoring. We will touch on some of the computer vision algorithms that exist to analyse these data, some examples of research cases we have at ILVO whereby we use machine learning to monitor crops. Last, we will discuss some of the challenges of machine learning for agricultural research..

[Audio] Let's start on what is Artificial intelligence? It is een concept invented by The English mathematician Alan Turing, farther of the first "computer" that decoded the secret codes of the Germans in World War II. He defined AI as "AI is the ability of a digital computer or computer-controlled robot to perform tasks commonly associated with intelligent beings"..

[Audio] But what is "intelligence"? Even for living organisms, Biologists have trouble to find a correct definition (or the right characteristics) to say if an organism is intelligent or not..

[Audio] This is because all living organisms have a level of "intelligent" behaviour. From bacteria to plants, animals and humans. All these organisms have strategies to survive, like finding food, escaping from predators, finding mates and to on. And we don't neceassarily need "brains" to do this, like plants, bacteria and even some animals..