A city-based start-up is keeping itself busy as a bee, with what it calls a disruption in the desi apiculture (beekeeping) space. Gobuzzr is an IOT-based solution, developed by Casperon Technologies (P) Ltd that – without any human intervention – studies the physical condition of beehives and relays it back through a mobile app.
It is worth noting that honey bees – both in the wild and in human spaces perform about 80 per cent of the pollination worldwide. And 70 out of the top 100 human food crops which supply about 80 per cent of the world’s nutrition are pollinated by bees. The IoT (Internet of Things)-based solution Gobuzzr comprises load, temperature and humidity sensors placed in beehives which are connected to the web server through mobile data. The Directors of the company are Kapildev G, who is also the Co-founder and Suresh J, while Aravind N is a co-founder of Gobuzzr.
Kapildev tells us, “I started my own software concern about 7 years ago and the idea for Gobuzzr was incepted a year ago during a trip to Zimbabwe. There we had met a producer and exporter of honey who handled as many as 30,000 beehives. He was looking for a solution to assess the health of his beehives, without having to go through the hassle of smoking out the bees every time an inspection was due, and employing a staff member in a protective gear to carry out the same.”
Frequent inspections on hives tend to interrupt the everyday activities of the honeybees and subsequently result in dip in honey production. The prevalent system of manual checks often finds beekeepers getting stung. Kapildev says, “There is also a lot of physical movement involved – and its tedious for beekeepers to individually check the hives in large scale commercial setups. With our technology, beekeepers can keep tabs on all statistics and allow us to harvest honey, while alerting us in case of abnormal situations like sudden increase of weight due to the presence of animals, increase in temperature due to fire, drop or increase in humidity.”
The entrepreneur informs us that AI, big data and machine learning is employed to collect information from multiple data points – including healthy and non-healthy hives. Using a predictive model, the system can help beekeepers understand their hives better. Kapildev says the bootstrapped company has invested close to Rs 30 lakh on R&D and is now looking for venture funding to move from a prototype model to a full-scale industry-ready product.