Remote Sensing of Honey Bees

From Living Building Science

About the Team

The RFID team is responsible for implementing the radio frequency identification system (RFID) to track and record bee flight patterns in and out of their hive. During the Fall 2020 semester, the team tagged 15 bees in total and built a water-proof wooden box to hold the RFID system. The bees were first collected by using an Aspirator and then subduing the bees in the freezer for a few minutes. Once the bees were semi-paralyzed, the tags were attached to the thorax of the bee using Krazy glue and the bees were then set free. A sensor was placed at the entrance of the hive to identify and record the time a tagged bee entered or exited the hive.


Our main goal for the Spring 2021 semester was to use the RFID system that was set up last semester in order to track drone flight patterns. Important factors of the flight patterns that we want to consider are the average duration outside of the hive, the average number of flight trips, and general drone activity throughout the day. The average duration the drones spend out of the hive will be taken with respect to their age, and the average number of flight trips will be taken with respect to the temperature each day.


Remote Sensing of Honey Bees

Introduction to the System of Study

Drones are essential for the longevity of a beehive as their sole purpose is to mate with the queen to produce worker bees. Although, they play an integral part in the beehive, they are not very well understood and research on their flying patterns is scarce; “Available information on drone activity is based mainly on direct observations during a limited period of time and for a restricted time of the day” (Reyes, 2019).


Methodology

RFID Tags

RFID tags are a type of tracking system that uses smart barcodes in order to identify items. RFID stands for “radio frequency identification,” and as such, RFID tags utilize radio frequency technology. These radio waves transmit data from the tag to a reader, which then transmits the information to an RFID computer program. RFID tags are frequently used for merchandise, but they can also be used to track vehicles, pets, etc.


Type of Bee

The type of bees that we worked with are called Drone bees which are the only males found in the hive. Drones perform only one task during their lifetime: mating with new queens. When a drone reaches sexual maturity at about two weeks of age, he begins taking mating flights. The drone bees used were kept in an incubator in Clough Undergraduate Learning Commons (CULC) at approximately 32 degrees Celsius.


Tagging Methods

A small amount of store-bought super glue is applied to the RFID sensor and, while holding the bee lightly with a pair of forceps at the upper abdomen (holding down the wings), the RFID tag is placed between the wings at the top of the thorax. The bee is released after a few seconds. In some cases, bees are collected and held manually during the RFID fitting or several bees are brought to the laboratory where placing the bees in the freezer for a short amount of time can be used to decrease bee movement as the bees fall asleep. It will be ideal to tag bees as they hatch in their first day of life as an adult due to their inability to fly. Tagged bees were then placed in hive in Kendeda Building.


Results

The drones started leaving the hive once they were four days old.


Conclusion

This semester, we ran into a lot of technical difficulties regarding the Raspberry Pi and the HOBO Pro v2 Temperature/Humidity Data Logger.

  • The Pi had some unknown issues that prevented it from booting.
  • We have concluded it may be a SD card issue since it is not a power cable issue.


We also unfortunately collected bad data and had a few significant sources of error.

  • Twelve bees were tagged after the first round of tagging at Kendeda.
  • By the next week, only one was still active.
  • The small sample size prevented us from concluding anything significant.
  • To remedy this issue, our team regularly met with the beekeeping team to tag drones regularly. By the end of the semester, we were able to tag over 400 drones.


Looking forward to the future, the questions we want to focus on are:

  • How many times does the drone leave the hive before it dies?
  • If a drone survives a mating trip, how long do they stay in the hive before they are rejected?


Some of our goals for next semester include:

  • Adding the camera and the hive scale to the hive, after slightly modifying the waterproof case to fit the Pi cable
  • Sending our data over to the Machine Learning team so that they can integrate their mite model with the data collected from our camera and their swarm forecasting model with the data collected from the scale
  • Setting up the temperature & humidity sensor from Dr. Cobb to record data on environmental temperature and humidity conditions


Photos

The waterproof box containing the RFID equipment.


The RFID equipment inside the waterproof box.


Emma with a bee on her finger!


The RFID gate/sensor at the entrance of the beehive.


Bees with the tags attached.


Using the Aspirator to collect the bees for tagging.


A view of the roof of the Kendeda Building.


Hives located on the roof of the Kendeda Building.
The frame of capped drones.


Team Members

Name Major
Emma Carmical Environmental Engineering
Isabelle D'Amico Environmental Engineering
Silas Ever Computer Science
Hannah Kim Computer Science
Kemuel Russell Biology
Sarah Talwar Neuroscience