Σύστημα πρόβλεψης τρύγου μελιού βασισμένο σε Spring Boot Framework
Honey harvesting predictor with Spring Boot Framework
As the need for the development of science and technology grows daily, so does the need to develop models that mimic human reason and human judgment. One area that much research focuses on is the use of machine learning to draw conclusions similar to human logic. This dissertation analyzes the use of machine learning in agriculture and more specifically in beekeeping in order to predict the harvest season of bees and then makes a statistical analysis in order to compare production between time periods and the impact of weather conditions on production. of honey.