Nectarfy

The Problem

I was at a farmer’s market buying honey, when I asked them about how climate change was affecting their business. It was here when I learned about the devastating outlook of bees and all the issues they and their keepers faced. From parasites to pesticides, hotter summers and colder winters, and an ever-growing movement towards monocultures, there was a lot of problems which needed solving given our agricultural reliance on bees. It was this spark which inspired me to work with my classmates, capstone team, and ultimately colleagues to develop Nectarfy.

The First Iteration

Nectarfy has gone through many iterations since its inception. At first, we aimed to for the following features:

The First Instrumented Beehive
The First Instrumented Beehive

There features were rudimentary at best, and was done between myself and a classmate as an exercise in firmware development. We used an TI MSP430 and wrote firmware to control a load cell, a servo, and other various sensors. I developed and most of the mechanical mechanisms using a combination of woodworking and 3D printing.

Video PDF Report

Customer Discovery

Moving forward, I worked with a team of two other engineers and three business students to further take my idea of combining technology with beekeeping forward. We interviewed and spoke with over 50 beekeepers, to ranging from amateurs to professionals. We worked with faculty and aimed to create a startup, which became Nectarfy.

Nectarfy, The Second Iteration

After market research, speaking with stakeholders and experts, and getting a new engineering team, we updated the technological scope for our beehive:

These key features were developed into an MVP. I helped build mechanical enclosures for the beehive, and constructed the entire varroa mite detection system.

Nectarfy V1
Nectarfy V1

We also built an app which allowed us to interpret data and control our beehive MVP.

Nectarfy App
Nectarfy App

Varroa Mite Detection System

The varroa mite detection system was based on an array of gas sensors. The theory behind it was that beehives would have a relatively monolithic gaseous composition. With the introduction of varroa mites, that composition would change and therefore could be picked up by gas sensors. After, we planned on building a machine learning model to learn the difference between an infected and non-infected hive.

Varroa Mite Detection System
Varroa Mite Detection System

The system was able to easily distinguish room air and a beehive, and various other chemicals. We aimed to further develop the system with our beekeeping partners.

Nectarfy, The Pivot

After our MVP, two of us from the original team of six moved into a Startup Incubator to try and bring Nectarfy to life. We conducted further interviews and pivoted from a complete beehive to an attachment, which would allow our device to retrofit on existing beehives. We also scaled back some features from the second iteration such that it could fit in this new streamlined form factor.

Nectarfy V2
Nectarfy V2

Hexahive, The Rebrand - Big Ideas

Hexahive Team
Hexahive Team

While pursuing my master’s degree at UC Berkeley, I was still passionate about Nectarfy and hopeful for the impact it could have on the beekeeping industry. In California, which is one of the largest markets for beekeeping, I found it to be a great opportunity to learn more about the industry and leverage the tech-focused environment of the Bay. I kept to my roots, going to the local Berkeley farmers market, and learned quickly that while there were problems unique to California beekeepers, a common thread: The Varroa Mite, still remained.

It was here where I sought outlike-minded engineers, and entered into various pitch competitions and startup accelerators. One of the key moments during my studies at Berkeley was being a Grand Finalist for the 2023 Big Ideas competition, where we won some money which we put towards building our alpha prototype.

Big Ideas Grand Finalist Hexahive Grand Finals Poster