This thesis covers the topic of applying machine learning within the agriculture industry. Thegoal of this project was to set out with the intent of using computers in trying to classify plantsafter their different growth stages with the hope of making it easier for the regular person to growthe their own food. The project set out with trying 3 different machine learning algorithms to getand perspective on how they performed for this specific problem, but also to get an overview onhow the algorithms performed compared to each other. The result and conclusion showed that thealgorithms are currently unfeasible to use, mostly because of the lack of data. Though the resultstill were promising as it proved the concept and that there is potential for further developments onthe work, like the tinkering on the algorithms but mostly of gathering data.