A hive monitoring system that determines any change in chemicals (pesticide, antibiotics, bee medicines) in the hive, measures environmental and informs the control authorities so as to provide a fully monitored and controlled production from hive to spoon. There is a chemical substance sensor in the system that measures odors at levels that cannot be detected by the human nose, and records the chemical substance data with a time stamp. The measurement data is compared by a chip with the harmful bee pesticides and limit values that should be in the hives, and information is sent to the processor unit if the limit values obtained as a result of machine learning are exceeded. The users can receive the warning/informative notifications instantly via access devices over a server that receives and stores the data sent from the processor unit and can follow the conditions of the hive when desired.